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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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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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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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: 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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/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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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