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materials will be developed in Dutch and this project will comprise keeping in touch with Dutch-speaking stakeholders. You are able to: Explore insights from various disciplines; Show readiness to learn new
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these machine learning-based proxies together with a postdoctoral researcher working in this project (see below), leveraging data from experiments in our project. Third, you will explore how local connection
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and help supervise BSc and/or MSc students during their internships with us (10% of your working time). Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit
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are motivated by a deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and to develop new methods and concepts. PLEASE NOTE: The applications will be
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will: Gain expertise in translation regulation, single-cell sequencing and developmental biology Learn to design and carry out experiments using state-of-the-art methods Develop strong skills in data
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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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stages or within subcellular compartments. During your PhD, you will: Gain expertise in translation regulation, single-cell sequencing and developmental biology Learn to design and carry out experiments
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented 2 PHD-STUDENTS IN NEUROAI OF DEVELOPMENTAL VISION (M/F/X). Job description The Curriculum
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(February 1, 2026). an interest in online political communication with a willingness to have a societal impact; an empirical research focus and knowledge of, or the willingness to learn, specific quantitative
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infrastructure managers You will be part of a multidisciplinary project with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow