201 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" research jobs at Rutgers University in United States
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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: Office Environment, moderate noise. The incumbent primarily in Newark with some remote work flexibility. Candidate will have access to a standard computer, phone, and internet access to perform the duties
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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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Position Details Position Information Recruitment/Posting Title Research Assistant, Program for Disability Research Department SMLR - Dean's Office Salary Details A minimum of $2500 for the contract
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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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a robust pediatric clinical research center, well as an active collaborative research program with Pediatrics in population and prevention sciences. Both the Pediatrics Department and the CHINJ have
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in a program at an accredited college or university, studying computer science and/or a related discipline. Certifications/Licenses Required Knowledge, Skills, and Abilities Python LLM RAG Fine-tuning
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments
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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