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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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structural dynamics; introduction to nonlinear problems. Teaching Qualification Requirements: Minimum of Ph.D. in Mechanical Engineering. Minimum of three years’ experience teaching or in industry
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Dec 2026 - 23:16 (UTC) Country Switzerland Type of Contract Other Job Status Other Hours Per Week 42 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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on computational analysis and supporting model development as part of a dynamic, fast-moving experimental program that applies molecular biology to the investigation of brain function and psychiatric illness
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About the Opportunity Position Overview The Department of Medical Sciences is recruiting an Open Rank Clinical Professor to serve as a Principal Faculty Member in the Physician Assistant Program on
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
about high field NMR, dynamic light scattering, fast protein liquid chromatography, and complex data analysis. Mentor: The mentor for this opportunity is Kang Chen ([email protected] ). If you have
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Biology at Stony Brook University, invites applications for a Postdoctoral Research Associate to join a program of work at the interface of structural dynamics, allostery, and computational drug discovery
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life
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, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific