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Field
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Framework Programme? Not funded by a EU programme Reference Number PID2025-173855NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ultrafast Science of
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. HARPNET’s scientific programme is integrated across three scientific work packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities
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., Python, MATLAB, or similar languages) is advantageous. Knowledge of mathematical modelling, computational mechanics, or data science is considered an advantage. Interest in cardiovascular physiology
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facilities. Areas of interest include, but are not limited to, multi-omics, AI, computational life science, systems biology, synthetic biology, microbiology, biomaterials, cancer research, medical science, and
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. • Contribute to the development of future grant applications. • Other activities as required. QUALIFICATIONS Required Qualifications • PhD completed within the last 5 years in Computer Science, Data Science
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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information regarding ORNL’s DSF Program may be found by visiting the following link: https://www.ornl.gov/careers/distinguished-fellowships . About ORNL: As a U.S. Department of Energy (DOE) Office of Science
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Details Title HMS - Postdoctoral Fellow in the Harvard-MIT Center for Regulatory Science School Harvard Medical School Department/Area HiTS Position Description We invite applicants for a
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11th October 2026 Languages English English English Faculty of Science and Technology PhD Fellow in Remote Sensing of Rain-On-Snow Preconditioning Sea Ice Melt Onset Apply for this job See
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile