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-channel measurement system. Requirements for the candidate: PhD obtained no earlier than 7 years before employment (per NCN post-doc definition), from an institution other than the host. Employment
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components. To strengthen our research group, Integrative Food Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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10th April 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Edge AI Accelerator Design Apply for this job See advertisement This is NTNU
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates without a master’s degree have until 31.08.2026 to complete the final exam. The purpose of the fellowship is
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and