121 computational-physics "https:" "https:" "https:" "https:" "IFM" "IFM" Postdoctoral positions at Rutgers University
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analysis, interpretation of findings, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape
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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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-reviewed publications. Interest in developing an independent research program. Equipment Utilized Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, talking, and hearing
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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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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required
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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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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused
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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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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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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