75 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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with Down syndrome and other populations at elevated risk for Alzheimer’s disease and related dementias. The successful candidate will play a key role in ongoing and developing studies examining
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with Down syndrome and other populations at elevated risk for Alzheimer’s disease and related dementias. The successful candidate will play a key role in ongoing and developing studies examining
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC
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participate in group meetings Position Status Full Time Posting Number 26FA0692 Posting Open Date Posting Close Date 11/30/2026 Qualifications Minimum Education and Experience PhD degree in Health Informatics
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(TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R antagonism and develop peptide‑based
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be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and human
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collaborative and interdisciplinary research environment. Preferred Qualifications Experience with computational structural biology, molecular modeling, or AI-assisted drug discovery is desirable but not required