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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Delft University of Technology (TU Delft); 10 Oct ’25 published
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- Delft University of Technology (TU Delft); Published 31 Oct ’25
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- Maastricht University (UM); Published today
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- University of Twente (UT); yesterday published
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Field
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for someone who: Has a (research) MSc. in a relevant area such as Biomedical Engineering, Cognitive or Computational Neuroscience, AI, Psychology, or a related discipline. Has strong programming skills in e.g
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need to understand what plasma conditions are optimal for producing light from plasma, but also we need to understand how such plasma should be generated, and what laser technology should be used. You
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this? The successful candidate has a master’s degree in a relevant discipline (Data Science, Neuroscience, Biomedical Sciences, (Biomedical) Engineering, or a related field) with experience and a strong interest in 3D
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at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one
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at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one
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water resources engineering , preferably with a strong numerical modelling foundation. proven proficiency, or willingness to develop, technical skills relevant to hydro(geo)logical modelling, which allow
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discipline (Data Science, Neuroscience, Biomedical Sciences, (Biomedical) Engineering, or a related field) with experience and a strong interest in 3D microscopy methods such as light-sheet fluorescence
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candidate is expected to: Conduct academic research in law, technology, and media values, culminating in a PhD thesis (based on a minimum of 4 papers); Present your research on academic conferences, expert
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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combining insights from engineering, planning, innovation, and transition studies, we explore the dynamics between infrastructure management, policymaking, and end-user behaviour. The knowledge we generate