1,322 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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Field
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Computer Science, Computational Chemistry, Bioinformatics or related quantitative/biomedical discipline. Supplemental Qualifications PhD degree with experience in molecular docking and in silico drug development
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services for leadership computing facilities Strengthen ALCF’s role in shaping human-centered AI systems for science, bridging visualization, AI, and HPC Contribute to DOE-wide efforts in AI-ready workflows
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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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& Systems Biology program at MSK. Our long-term goal is to enable rational engineering of cell state: using large-scale functional genomics to build predictive models of how cells respond to perturbations
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, Cognitive Neuroscience and Computational/Theoretical Neuroscience. Minimum Requirements Research Assistant: • Bachelors degree in Biology or related field Research Associate/Postdoctoral Scholar: • PhD in
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Recent or soon-to-be completed (typically within the last 0-5 years ) Ph.D. in Computer Science, Electrical Engineering, or a related field. Demonstrated research expertise in AI and machine learning, with
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches
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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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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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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal