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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/ ), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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communicate your findings through your PhD thesis, presentations at (inter)national conferences and via broader outreach. Where to apply Website https://www.academictransfer.com/en/jobs/363554/phd-position
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) at the Eindhoven University of Technology (TU/e) is looking for a motivated PhD candidate to join an exciting research project within the Dutch SolarNL / SolarLab program (https://www.solarnl.eu ). The project
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/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite
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/InstituteUniversity of MainzCountryGermanyCityMainzPostal Code55128StreetDuesbergweg 10-14Geofield Contact City Mainz Website https://www.uni-mainz.de Street Duesbergweg 10-14 Postal Code 55128 E-Mail walther
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Deadline: 30th September 2026 Learn more about the programme: PhD Programme | Danube Private University Where to apply E-mail [email protected] Requirements Research FieldOtherEducation LevelMaster
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WarsawCountryPolandCityWarsawPostal Code02-109Streetks. Trojdena 4Geofield Contact State/Province Sent for Approval City Warsaw Website http://www.iimcb.gov.pl Street 4, Ks. Trojdena Postal Code 02-109 E-Mail [email protected]
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as PhD candidate in the field of machine learning for materials science. Your immediate leader will be the Head of Department. About the project Can AI interpret graphs like a human materials scientist
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thinking deeply about the results and modelling them. Applicants are not expected to bring expertise in all listed areas; the required methods will be learned during the project. This is a collaborative
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UniversityCountryGermanyCitySaarbrückenPostal Code66123StreetCampus, Gebäude D3 3Geofield Contact State/Province Saarland City Saarbrücken Website https://www.uni-saarland.de/ Street Campus D3 3 Postal Code 66123 E-Mail [email protected]