75 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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mouse model studies are needed for this position. Among the key duties of this position are the following: Treats and assesses mouse models of neurodegenerative disease using behavioral tests. Breeds
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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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of transcriptomic, metabolomic, proteomic changes in rat/mouse models of Dementia. The individual will be responsible for planning and executing experiments independently. The individual has to be highly skilled in
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. Treat populations adversely affected by chemical exposures. Develop educational tools describing relative risks of chemical exposures. Contribute to public policies related to environmental and
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied
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Qualifications Minimum Education and Experience PhD degree in Neuroscience or related field with a strong publication record, and a minimum of one (1) year experience in at least two of the following 1) animal
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender