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(IST) Experience Early Skills and Qualifications PhD in Physics, Electrical and Computer Engineering Degree PhD Employment Type Full Time About the position A research position for one Research Grant
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11 Dec 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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Up to 18 fully funded Marie S. Curie PhD positions at the University of Copenhagen (UCPH), the Technical University of Denmark (DTU) and the Danish Cancer Institute (DCI) CALL FOR PHD APPLICANTS
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
/phd-research-fellow-in-ml-assisted-reservoir-characterization-modelling-for-co2-storage Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290702/phd-research-fellow-in-ml
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administration. OR equivalent combination of relevant education and experience. Preferred Qualifications PhD in computer/data science/statistics or an applied social science OR JD with sufficient technical
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-IE [#27235] Position Title: Position Type: Other Position Location: Pittsburgh, Pennsylvania 15237
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/mod/aboutand our linkedIn page: linkedin.com/showcase/lmsd-kuleuven/. The PhD will be co-supervised by prof. Varvara Kouznetsova (https://www.tue.nl/en/research/researchers/varvara-kouznetsova ) from
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Minimum Education and Experience: This position requires a PhD in Electrical and Computer Engineering or a related field. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a Job Match for
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physical models. As the PhD researcher on this project, you will work at the intersection of machine learning, geometry processing and industrial simulation. You will have the opportunity to explore
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, enabling systematic and efficient exploration using modeling and simulation tools.For the full details please check: https://workingat.vu.nl/vacancies/phd-in-reconfigurable-spatial-accelerators