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for high-accuracy Additive Manufacturing” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and
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effectively, through publications in high-impact journals and presentations at leading international conferences Your profile A PhD degree in Electrical Engineering, Computer Science, Telecommunications, or a
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applied or fundamental research and publish the results in high-quality conferences and journals; Developing Computational Intelligence (e.g., Machine Learning and Optimization models) applications and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal is to design an experimental setup
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integrity, uniform pressure distribution, and efficient thermal management under high-temperature operational conditions (500-1000 °C); 2. Implement and validate an advanced computational framework
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general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The College of Liberal Arts and Social Sciences (CLASS) at the University
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seeking a highly motivated postdoctoral scientist to carry out a collaborative research project at the intersection of computational biology and systems virology. Our laboratory takes a systems biology
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 17 days ago
years). Included benefits Successful applicants will have support for travel, publications, and high-performance computing through the Max Planck Computing and Data Facility . Resources are also available
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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(clinic & AI) Modern work environment with state-of-the-art facilities and infrastructure Access to unique clinical datasets and high-performance computing Flexible working hours (19.25–38.5 h/week), 30