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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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and is initially limited to 2 years. The successful candidate will work in a dynamic international team situated in a world-renowned institute with cutting-edge infrastructure for cryo-EM and cryo-ET
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implications for understanding cardiovascular disease risk, thrombosis, and systemic inflammation. Candidate Requirements: You should have completed (or be close to completing) a PhD in Cell Biology, Haematology
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calculations and Brownian Dynamics simulations. The group is looking for a highly motivated and driven postdoctoral researcher to contribute strongly to a wave of ongoing developments deploying this technology
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publication background. Application instructions If you are interested, please email your CV, a statement of your research interests, and names of three references to Dr. Jian-Fu (Jeff) Chen, PhD at Jianfu
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generates clean energy that can power future HPC systems. You will design, implement and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within
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calculations and Brownian Dynamics simulations. The group is looking for a highly motivated and driven postdoctoral researcher to contribute strongly to a wave of ongoing developments deploying this technology
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 13 days ago
essential for the candidate to have (or close to complete) a PhD / Dr. rer. nat. / DPhil in related field of science. The candidate will have a proven ability to deliver high quality novel research
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
USNH Employees should apply within Workday through the Jobs Hub app A full-time post-doctoral position in pavement infrastructure monitoring and assessment is available in the Department of Civil
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning