66 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Rutgers University
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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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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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to the field of cancer biology and pediatric sarcoma, under the direction of Principal Investigator. May use animal models and clinical specimens collected from patients. Under the direction of the Principal
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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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metabolism/signaling using yeast as a model system. Among the key duties of the position are the following: The research will focus on the Nem1-Spo7/Pah1 axis, a phosphatase cascade that regulates whether
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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
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is