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: 2023809 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
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for a second year, based on performance. Start date is negotiable, but the position is available immediately. Required Qualifications Ph.D. in Biology, Bioinformatics, Genomics, Population Genetics
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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main responsibilities of the position include
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students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination Prepare and submit
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through
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provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization). Initial term: 2 years, renewable for a 3rd year contingent on
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting
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-Waals heterostructures. The research scope of the Research Unit also includes spin-wave physics, inverse-design magnonics, spintronics, millikelvin-temperature quantum physics, unconventional computing