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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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mathematics and its applications. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before October 1, 2025, and include: A Curriculum
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exposure, victimisation, and perpetration based on survey and social media data. You will also study developmental processes, potential consequences, and the role of parents in these processes. Your job
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/metabolomics/transcriptomics [desirable] Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and
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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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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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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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will analyse data to establish links between in-vitro and in-vivo digestive behavior, metabolic and appetite responses of different ingredients; you will use the knowledge gained to better characterize
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, research on the role of legal sanctions, research on different modes of governance and its intended and unintended consequences, and digitalization and the use of big data. Research in the department is
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are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase. Data flow diagrams used at NOLAI capture the processing, storage and