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and testing behavior change interventions as an advantage. Strong analytical, problem-solving, and organizational skills, with the ability to work both independently and collaboratively. Initiative
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compartments, using a combination of chemical, physical, and analytical techniques. The PhD will be supervised by prof. Nathalie Katsonis, and carried out in close collaboration with prof. Ben Feringa
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technologies and manufacture processes with emphasis on mechanical and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. Qualifications
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21 Aug 2025 Job Information Organisation/Company University of Groningen Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1
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26 Aug 2025 Job Information Organisation/Company University of Groningen Research Field Juridical sciences » European law Juridical sciences » Informatic law Researcher Profile First Stage
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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meals for field teams, and renting and driving vehicles. Collecting and processing data, and ensuring regular backups to RUG and KNIR storage systems. Short stays at the KNIR Institute in Rome may be
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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the project, primary data collection will need to be done in Southern Kenya (Narok and Kajiado counties). Maasai Mara University in Narok county will provide on-the-ground assistance. The PhD position is