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of cardiometabolic health and accelerate its translation into prevention and treatment strategies. The Center’s uniquely multi- and interdisciplinary approach combines research in genetics, physiology and
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is offering two full-time PhD studentships funded by the Engineering & Physical Sciences Research Council (EPSRC) to start in the 2026-27 academic year (either September or January entry is possible
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Department
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Spectroscopy, Biophysics, Medical Physics, Geophysics, Accelerator Physics, Observational Astrophysics. Program Highlights • Expert Faculty: Collaborate with leading physicists. • Advanced Laboratories: Engage
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, and these muons carry information about particle interactions at energies far beyond the reach of any accelerator on Earth. In this project you will turn that signal into cosmic-ray physics: measuring
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implementation requires overcoming market “lock-in” effects, including resistance to process changes, stakeholder awareness and perceived risks, and regulatory hurdles. Societal concerns will be integrated early
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Physics » Computational physics Physics » Other Researcher Profile First Stage Researcher (R1) Application Deadline 17 Sep 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Part
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. Successful implementation requires overcoming market “lock-in” effects, including resistance to process changes, stakeholder awareness and perceived risks, and regulatory hurdles. Societal concerns will be
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30 Jul 2026 Job Information Organisation/Company University of A Coruña Research Field Physics » Applied physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions
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causes and cures for disease through research in the Carpenter–Shen laboratory! Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and