99 postdoc-computational-physics "Data driven Materials Modeling" Postdoctoral positions at Rutgers University
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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, or related computational methods. Track record of peer-reviewed publications and interest in developing an independent research program Equipment Utilized Physical Demands and Work Environment Physical Demands
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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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given to applicants who are in the process of completing their Ph.D. or M.D. degree. Documentation of Ph.D. or M.D. degree completion must be provided prior to commencement of employment. Certifications
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Eligibility ABP Qualifications Minimum Education and Experience PhD in Biology or a relevant science or an MD required. Consideration to interview will also be given to applicants who are in the process of
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neurometabolism This position will tackle fundamental questions in metabolism, work at the interface of clinical and basic science, and contribute to a research program with strong potential to reshape our
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including ecology, biology, environmental science, geography, or computer science. Equipment Utilized Physical Demands and Work Environment Overview The School of Environmental and Biological Sciences
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productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations. Physical Demands and Work Environment Work will be performed in