30 computer-programmer-"https:"-"FEMTO-ST"-"Inserm"-"AMOLF" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at The University of Arizona
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Research Associate, Division of Endocrinology Posting Number req24559 Department Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location University of Arizona Health Sciences
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Research Associate I (Schaibley Lab) - Physics Posting Number req24503 Department Physics Department Website Link https://physics.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights
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(Schaibley Lab) - Physics Posting Number req24503 Department Physics Department Website Link https://physics.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The University
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Associate, Sarver Heart Center Posting Number req24495 Department Sarver Heart Center Department Website Link https://heart.arizona.edu/ Location University of Arizona Health Sciences Address Tucson, AZ USA
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting-edge analytic tools
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, radiobiology or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with vertical flow assay technologies, including design, characterization, and validation
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. Minimum Qualifications PhD degree in clinical translational sciences, radiobiology or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with vertical
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services, please click here . Duties & Responsibilities Plan, design and conduct advanced, multi-disciplinary research involving the use of mouse models, human tissue and blood samples to understand immune
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Duties & Responsibilities Plan, design and conduct advanced, multi-disciplinary research involving the use of mouse models, human tissue and blood samples. Use biochemical, cellular, molecular, and
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networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches. The ideal