135 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Postdoctoral positions at Rutgers University
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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of the Postdoctoral Associate is to investigate of the role of neural activity in guiding and initiating motor actions. The Oldenburg Lab uses and develops advanced microscopy techniques, including multiphoton
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operations, including breeding and genotyping of mice and general maintenance of animal colonies. Develops new ideas for promotion current research for the NJMS –Center for Immunity and Inflammation. Operates
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J. Physical Demands and Work Environment Overview Statement This position will be direct mentor for 1-2 undergraduate researchers in the lab. Manage, train, and schedule undergraduates and hourly
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Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving
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, the Postdoctoral Associate will provide professional scientific expertise and technical support in the planning and execution of projects related to research and process development. Among the key duties
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span a broad range of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational
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, analyzing tagging data, developing habitat models based on the collected data, and writing summary reports. Position Status Full Time Posting Number 25FA0340 Posting Open Date 05/30/2025 Posting Close Date
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in the Principal Investigator’s laboratory to conduct research on tumor immunology, with a focus on the discovery and development of T cell therapy for cancer, including tumor-infiltrating lymphocytes
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using cellular and animal models, validation of the clinical relevance of these findings using multi-omics datasets in established human cohorts, and exploration of upcycling strategies to develop health