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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
involves repetitive bench tasks such as pipetting, extended periods standing or seated at a laboratory bench, and extended periods at a computer workstation for data analysis. Reasonable accommodations will
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Electrical Engineering, Computer Engineering, Computer Science, or related field. Strong background in digital communications / signal processing (e.g., modulation/coding/synchronization; performance
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@orise.orau.gov or visit our website at: https://orise.orau.gov/em-stars/ . Qualifications Applicants must meet the following requirements: Be a U.S. citizen at the time of application (proof of citizenship will
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postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Working Conditions: Â This position works in a laboratory environment with potential exposure to biological
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communications that are viable, efficient and compatible with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware
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of inorganic materials 2. Computer programming, (e.g., scientific software development, data management, data visualization, web development, and/or AI agent development). 3. Magnetic measurements (SQUID, MOKE
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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record
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with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware and software implementations. By relying
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related to staff position within a Research Infrastructure? No Offer Description SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed
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Appointment Dates: May 1, 2026 to April 30, 2029 Email/ Website: [email protected] , https://medicine.yale.edu/psychiatry/research/clinics-and-programs/center-science-cannabis-cannabinoids/ Introduction