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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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projects that characterize the toxicological effects of emerging environmental pollutants using advanced cellular and animal models. Rutgers NAMC is known for its transdisciplinary research on particle
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-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab are in compliance with the necessary
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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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Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD or MD in Health Sciences, Data Science/Informatics, Psychology, Cognitive Science, Neuroscience
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perspective of planetary formation, integrating geodynamical and geochemical models to investigate the evolution of terrestrial planets from accretion and differentiation to the emergence of habitable
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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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in this position is contingent upon adequate grant funds. Position Status Full Time Posting Number 26FA0741 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience A PhD in