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its processing capabilities but also its adaptability, leveraging early developmental data and ecological validity. Infant data will be acquired in collaboration with Dr. Tessa Dekker (University
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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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Responsibilities Both PhD’s will conduct one high-quality systematic literature review on existing methods and/or applications to integrate patient preference information, clinical outcome assessments, and
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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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/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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: 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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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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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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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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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