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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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Researcher (R4) Positions PhD Positions Country Greece Application Deadline 5 Jan 2026 - 23:59 (Europe/Athens) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis
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At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
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, click here . Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292037/phd-research
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work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292041/phd-research-fellow-in-co… Requirements Research FieldBiological sciences » OtherEducation
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PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological