68 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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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
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of epilepsy or seizure disorders using murine models and human patients. The Postdoctoral Associate will perform small animal surgeries, molecular, cellular and electrophysiological experiments with the goal
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analysis, RNAscope and proximity ligation assays. Operates and maintains experimental equipment; assists in writing protocols for IRB and IACUC. Genotypes distinct knockin and knockout animal model systems
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neuroscience. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated experience working with aging populations. Experience with computational modeling, and multi-omics molecular analysis
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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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. 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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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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equipment; assists in writing protocols for IRB and IACUC. Genotypes distinct knockin and knockout animal model systems. Records, quantifies and analyzes data from experiments. Assists Principal Investigator
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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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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science