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I am looking for a PhD student in Computer Science with experience in Machine Learning (ML) to collaborate on a research project focused on identifying Oral Potentially Malignant Diseases (OPMD) using medical imaging. This is a paid opportunity (compensation in the range of a few thousand dollars) and will be conducted in partnership with Albany Medical Center in Albany, NY.
PROJECT OVERVIEW
The goal is to assess how well ML models can identify OPMD from a curated database of medical images. I have already compiled a dataset and need an ML expert to help with model selection, training, and evaluation. This project could lead to co-authorship on a research paper and further opportunities in medical AI.
WHO SHOULD APPLY
- PhD students in Computer Science, AI, or a related field with strong ML expertise.
- Experience with medical imaging, deep learning (CNNs, transformers), and classification models is a plus.
- Interest in interdisciplinary research in medicine and AI.
HOW TO APPLY
If you're interested, please email me at mahmoom4[at]amc.edu with your CV and a brief summary of your ML experience. Let's discuss how we can collaborate!
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BACKGROUND
The Penn State College of Medicine, Department of Molecular and Precision Medicine, in Hershey, PA, is seeking a Researcher to join the Georgakopoulos-Soares lab. The lab focuses on developing and implementing new computational and artificial intelligence methods in genomics and molecular biology. Current projects include the identification of genetic biomarkers for the diagnosis, monitoring and treatment of human diseases and cancer, the characterization of non-B DNA sequences across the tree of life, the development of bioinformatics tools and databases, and the study of regulatory grammar.
REQUIREMENTS
We are seeking a qualified researcher with expertise in computational biology, software engineering and artificial intelligence. This position requires a master's degree or its equivalent, or to be enrolled as an active candidate for a terminal degree in a related field. The candidate should have a strong publication record and be involved in ongoing research projects, have experience with collaborative scientific project execution, as well as a commitment to mentoring and a desire to work in an interactive, diverse, and inclusive research group. Applicants with experience in high performance computing and artificial intelligence are strongly encouraged to apply.
KEY RESPONSIBILITIES
- Collaborate with researchers to analyze and develop computational and machine learning methods and pipelines, evaluating and selecting appropriate approaches for omics research problems.
- Apply mathematical theories and advanced artificial intelligence techniques to answer research questions in bioinformatics and genomics.
- Optimize and extend algorithms, analysis pipelines, and software to enhance efficiency, scalability, and effectiveness in research computing.
- Perform advanced statistical analyses and create high-quality visualizations of research findings.
- Work independently while defining objectives and ensuring quality and timeliness of research projects.
- Author or co-author research papers and present results at scientific meetings and conferences.
- Draft grant proposals based on the candidate's and the lab's research in collaboration with the Principal Investigator.
- Supervise and mentor junior staff, students, or other research personnel.
HOW TO APPLY
Interested candidates should upload a cover letter, CV, and 4-5 relevant publications. In addition, applicants will be asked for the names and contact information of up to three professional references during the interview process.
This is a limited-term non-tenure line position funded for one year from date of hire, with possibility of refunding.
Employment will require successful completion of background check(s) in accordance with university polices.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.
Apply online at https://apptrkr.com/6058214
POLICIES
CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to http://www.police.psu.edu/clery/, which will also provide you with detail on how to request a hard copy of the Annual Security Report.
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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BACKGROUND
Michabo.co.uk (https://michabo.co.uk) is an expanding spin-out company from the University of Birmingham. We are leaders in the innovation and application of molecular toxicity data from 'omics technologies to support the hazard assessment of chemicals under European safety legislation. Our mission is to accelerate the world's transition towards safer chemicals without vertebrate animal testing, using molecular toxicity data to identify and characterise exposure-related hazards for regulatory approval.
As interest and confidence in applying metabolomics and transcriptomics technologies to regulatory toxicology grows, so we are growing. We now seek to recruit a skilled Omics Data Scientist, complementing the strengths of our existing team. We succeed because of the strength of our science, our people, and our collaborative approach to working with our clients, who include regulators and chemical companies throughout the UK and Europe, as well as the European Commission. Our core values include fostering teamwork, and earning trust in the approach to our mission through all that we do. We operate hybrid working, with the city of Birmingham, UK, serving as our physical meeting hub.
THE ROLE
A company Scientist role powers the delivery of our projects by conducting and delivering on contract research, assisting in the development of new contract proposals, and contributing to exploratory research in the company's R&D programme. The Scientist works closely with Senior Scientists to conduct investigations and report scientific findings. We provide built-in career progression for Scientists through the learning and development of project planning and management skills, and by specialising in methods continually being improved by our R&D to solve real-world challenges in chemical safety. Our Scientists also co-author research publications.
We seek a proven researcher and team player who speaks our language, the language of 'omics and 'omics data analysis, applied to human or animal biology. Applicants should have a PhD (or equivalent level of expertise) focused on applying metabolomics or transcriptomics to either toxicology, human health/disease or perturbation biology. The Scientist will be capable of performing reproducible computational and/or statistical analyses of 'omics data to address toxicological questions, applying their knowledge of R, Python or equivalent languages. They will review and incorporate insights from relevant scientific literature and databases to enable data analysis decisions and toxicological interpretation.
Applicants should be motivated to apply their skills towards 21st century regulatory toxicology to help transition towards non-animal toxicity testing. Some knowledge of mechanistic or regulatory toxicology is highly desirable, as is experience working outside of academia. We also invite applications from more experienced candidates, for consideration in a more senior role in the company.
TERMS
Full-time, permanent Scientist
LOCATION
Birmingham, UK & hybrid working
COMPENSATION
Starting salary: ca. £37k (dependent on experience) plus performance-related bonus pa
HOW TO APPLY
Interested? If you would like more information regarding the job description and skills specification, please contact jobs[at]michabo.co.uk
If you would like to apply, please send a cover letter outlining why you feel you are suitable for the role and a full CV to jobs[at]michabo.co.uk by 10 April 2025. Please include how you heard about this advert.
DEADLINE
Closing date: 10 April 2025
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The Computational Biology Core within the Institute for Systems Genomics provides essential consulting, data analysis, and data interpretation services to advance research efforts. This role involves collaborating with faculty, post-doctoral fellows, and research staff on a wide array of biological topics, including high-throughput sequencing, analytic approaches, and workflow management. The analyst plays a key role in providing background on current techniques, managing multiple overlapping data analysis projects, providing general HPC user support, and providing regular workshop-based training to the broader community. The analyst will join a small team that supports research at all UConn campuses.
DUTIES & RESPONSIBILITIES
- Support of the HPC resources
- Support users through installing open-source scientific software and troubleshooting user code
- Manage and update shared databases
- Develop curriculum and lead training workshops
- Conduct analysis of high throughput genomic data for the research community
- Triage requests received via Slack, and the e-mail-based help desk
MINIMUM QUALIFICATIONS
- M.A./M.S. in computational or biological sciences
- Experience with analyzing high-throughput sequence data
- Proficiency with Linux
- Comfort interacting with an HPC system
- Strong presentation and communication skills
- Positive attitude and ability to work as part of a team (multi-tasking extraordinaire)
PREFERRED QUALIFICATIONS
- Comfort with R and/or Python programming
- Proficiency with open-source software installation
APPOINTMENT TERMS
This temporary special payroll position requires 40 hours per week, with an hourly rate of $34.00. This short-term role (6 months) – the goal is to transition this position to a long-term staff scientist position for the right candidate.
The position can be fully on-site or hybrid (candidate must reside in the state of CT). This position does not offer sponsorship benefits.
HOW TO APPLY
To apply, please email a resume and cover letter detailing your qualifications to karelyn.lambert[at]gmail.com, with the subject line "Research Technician Application." Screening will begin immediately.
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â €Temporary contract | 36 months | Belvaux Are you passionate about research? So are we! Come and join us
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
Do you want to know more about LIST? Check our website: https://www.list.lu
LIST is offering a fixed-term (3 year) position for an experienced biodiversity data engineer to reinforce its applied research activities on biodiversity. The successful candidate will join the Biodiversity Monitoring and Assessment (BIODIV) research group at LIST that focusses on innovating the way data is sampled in the field to evaluate the spatial and temporal dynamics of living organisms. As a national hub at the interface between the scientific community and decision/policy makers in Luxembourg, the BIODIV group is sampling, collecting and analysing data on various living organisms to assess their changing conservation status and dynamics, as well as developing and making use of technology-based approaches (e.g. bioacoustics, imaging) for data collection and processing.
How will you contribute?
To strengthen our RDI capacities for ongoing projects on biodiversity monitoring and assessment, we are looking for a skilled and highly motivated data engineer with a strong background in biological data management and processing and with a marked interest for the development and use of innovative methods for the acquisition, processing and analysis of field data.
You will be integrated in the BIODIV group where teammates will share their knowledge and know-how with you.
You will be mainly in charge of:
- Participating to RDI projects on biodiversity monitoring and assessment with autonomy and under limited oversight by the group leader or PIs
- Taking responsibility for setting priorities and scheduling work related to data architecture, management and processing across RDI projects in the group
- Contributing to the publication of high-quality research articles in peer-reviewed international journals
- Contributing to the identification of new opportunities for innovation or application
Your specific tasks will focus on:
- Designing and managing a biodiversity database platform centralising various types of monitoring data (including field records, samples, but also images-videos, sounds) collected across freshwater and terrestrial ecosystems in Luxembourg
- Leading the implementation of data architecture, data flows (from field collection to analysis) and data interoperability and exchanges with external systems from other relevant stakeholders in Luxembourg and beyond
- Strongly contributing to the development of innovative software solutions (e.g. modelling approaches, machine learning and AI-driven tools) for the processing and use of such data
- Participating to the development of novel hardware/software solutions for automated biodiversity data acquisition in the field (e.g. bioacoustics, camera trapping)
Is Your profile described below? Are you our future colleague? Apply now!
Education and experience
- Master's degree and 3 years of work experience in a relevant discipline such as data science, computer science, biostatistics, bioengineering science or similar discipline. Education background in other disciplines such as biological or environmental sciences is possible if strong technical skills related to this job are demonstrated.
Skills
MUST HAVE
- Proficiency in programming languages for data engineering such as SQL (preferably PostgreSQL)
- Demonstrated experience with the management of big, diverse and complex biological datasets using dedicated software
- Proven expertise in data architecture, manipulation and visualisation
- Familiar with cloud computing and application software interfaces (APIs)
- Good understanding of statistical methods and knowledge of statistical software and associated programming languages
- Strong work organisation skills and capacity to plan work and establish priorities
- Detail-oriented skills and problem-solving attitude
- Experience with teamwork in an international and multicultural setting
- Full autonomy on the execution of duties not requiring supervision
NICE to HAVE
- Motivation for the preservation of the natural environment
- Knowledge of existing large research infrastructures for biodiversity data
- Hands-on experience with the analysis of biological data using dedicated software or programming languages (e.g. Python, R)
- Experience with GIS applications and their web services
- Knowledge of biodiversity monitoring programmes and good understanding of sampling designs
- Interest for machine learning and Artificial Intelligence (AI) tools and their use in biodiversity data science
- Interest for bioinformatic analyses of large and complex datasets derived from environmental DNA (eDNA) samples
- Experience with collaboration tools like Git (GitHub) and related solutions
- Experience with (or marked interest for) novel technologies and their application to biodiversity sampling and monitoring
- Enthusiasm for flora and fauna in Luxembourg
Language skills
- Good level in both written and spoken English. French or Luxembourgish would be an asset.
Your LIST benefits
- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff's soft and technical skills
- Multicultural and international work environment with more than 50 nationalities represented in our workforce
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
- Gender-friendly environment with multiple actions to attract, develop and retain women in science
- 32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers
Apply online
Your application must include:
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- List of publications (and patents, if applicable)
- Contact details of 2 references
Please apply ONLINE formally through the HR system (https://vonq.io/3D0lM3n). Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.
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