84 computational-physics "https:" "https:" "Institute of Computer Science" Postdoctoral positions at Rutgers University in United States
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, geography, urban informatics, or a similar field with suitable analytic skills to conduct transportation analysis. The ability to conduct qualitative research and organize and run focus groups is essential
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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-Medina’s Neuroinformatics for Personalized Medicine lab in McGill University, Canada. Applicants must have experience working with computational modeling and multi-omics analysis in neurodegeneration. Ideal
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Laboratory environment. Universal precautions are mandatory. Physical Demands and Work Environment Ability to use computing resources. Overview Statement Rutgers, The State University of New Jersey, is an
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of Clinical and Preventive Nutrition Sciences at Rutgers School of Health Professions is seeking a highly motivated Postdoctoral Associate to join an active research program focused on maternal and
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• Excellence in biochemistry • Proven track record of the construction of quantitative physical models Additionally required skills are: • Commitment to ethical conduct of research • Self-motivation and
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postdoctoral fellowship positions on our newly funded NIAAA Institutional Research Training T32 program, Training in Research on Alcohol use and its Consequences and Etiology (TRACE). The goal of this program is
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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported