784 computer-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" Postdoctoral positions in United States
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Field
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: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication
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testing and computational simulations (e.g., finite element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and
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option for a second year) post-doctoral clinical fellowship. The program offers specialized training in the assessment and treatment of depression using evidence-based individual and group interventions
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation
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of required components and explaining/resolving technical issues. Compile, analyze, and interpret research data using various relevant computer software applications. Conduct library research and participates
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organoids/spheroids and support in vivo therapeutic testing. Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs. Prepares
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part...
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in collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state’s top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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multidisciplinary team, the candidate will work at the intersection of AI/ML, domain sciences, and high-performance computing. The role requires a strong foundation in LLMs and machine learning, along with