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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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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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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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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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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
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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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structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification. Information and application