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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Genomic Instability and Cancer Genetics (GICG) Research Program at Rutgers Cancer
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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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analysis, interpretation of findings, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape
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fairness and skin-tone–aware pipelines (Fitzpatrick spectrum robustness, augmentation, bias audits). Partner with annotation teams using Encord (video) and our Segment Care image labels; shape active
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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive
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on the relevant literature in both peer-reviewed and preprint form and assist the PI in preparation of manuscripts and grant applications relevant to own experimental work. Assists in the instruction and training
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, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
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form and assist the PI in preparation of manuscripts and grant applications relevant to own experimental work. Assist with the instruction and training of students (undergraduate and graduate) in
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, Post-Doctoral positions with an annual teaching load of 3 single semesters courses. Candidates should have received a PhD and show outstanding promise of research in pure or applied mathematics as
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considered. Candidates must have a PhD in mathematics by employment start date. Candidates will teach undergraduate and graduate courses in mathematics, perform research, and supervise graduate students