224 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United States
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comprising immunology, cell biology, developmental biology and computational biology to complement our primary tools from intravital microscopy. The postdoctoral scholar will have direct access to a brand new
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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Sciences at the University of Utah invites applications for an immediate postdoctoral position in Dr. Paul S. Bernstein’s laboratory. The translational research focuses on the role of nutrition to treat and
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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to career development activities; (b) supplies, equipment and technical personnel; c) travel to research meetings or training; and (d) statistical services including personnel and computer time. Salary
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wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
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Title of the Position: Postdoctoral Associate – Cancer biology and genomics (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology, Yale
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candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a
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development, service delivery with an overarching objective connecting science with society. This encompasses the development of infrastructure and processes for data standardization, data warehousing, quality