122 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "J" "J" "LaTIM Brest" Postdoctoral positions at Rutgers University
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, genetics, and instrumentation functions with the research areas to ensure conformance with the goals and objectives of the PI’s lab. Conducts a continuous program of research and development regarding
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, genetics, and instrumentation functions with the research areas to ensure conformance with the goals and objectives of the PI’s lab. Conducts a continuous program of research and development regarding
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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ABD (all but degree) status will also be considered. If the applicant graduated within 1 year from a PhD or MD training program, no other experience is required. If the applicant graduated more than 1
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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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and non-immune cells influences the disease outcome of airway and brain disorders (Eur Respir J. 2025 65:2401114, Nature Immunology. 2022 23:1714). The candidate should have strong interests in
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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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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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred