87 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published yesterday
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- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
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- Wageningen University & Research; Published yesterday
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organized into 10 work packages (WPs): Six WPs focus on disciplinary perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in
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PhD: Land-surface modelling of mountain hydrological processes in the Himalaya Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application
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variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work
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Optimisation and Simulation (NEQIOS) together with companies IBM and Enlightra and universities Oxford, Heidelberg and Radboud. NEQIOS aims to create a new class of brain-inspired (or “neuromorphic”) computing
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motivated and collaborative researcher with: a Master’s degree in Bioinformatics, Data Science, Statistics, Computational Biology, Epidemiology, Neuroscience, or a related field; experience in programming and
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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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in motor control by computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research
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such attacks from affecting real-world LLM systems, where we focus on methods that limit the computational overhead to minimize the energy, and therefore environmental cost of such defences. These research