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by Utrecht University. Website for additional job details https://www.academictransfer.com/363280/ Work Location(s) Number of offers available1Company/InstituteUniversiteit
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the opportunity to further develop their research agenda and academic profile. The position includes teaching responsibilities and support for competitive grant applications. Research Focus You will use game theory
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, staff, and academic departments. The full job description is available, here: https://capd.mit.edu/mit-capd-program-director-postdoctoral-career-and-professional-development/ Job Requirements REQUIRED
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. The two postdoctoral researchers will work closely together, together with professors Rafael Bailo and Mireille Boutin, to develop mathematical theories that connect geometric models of physical systems
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laboratories, and other health care organizations. Our operations are based at the University of Washington Medical Center, Harborview Medical Center, South Lake Union, Northwest Hospital and the Seattle Cancer
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to ongoing research projects. These positions offer an opportunity to work closely with faculty and graduate students in TRAILS, a unique interdisciplinary research community that brings together researchers
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and