495 computational-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26. Since TU Delft will be the coordinator of the project, a key responsibility of the Postdoc will to support the
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—or a strong affinity with—Bayesian Statistics, who is eager to contribute to our overarching research programme in high-dimensional statistics. As Associate Professor, you will play a leading role in
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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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on the university’s strategic positioning within the alliance. Facilitating interdisciplinary collaboration between faculties around the Master’s programme in Neurotechnology and initiatives focused on impact and
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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Have you always thrived in a classroom, being close to students? Do you enjoy hands-on lab sessions? Do you want to be part of a top Security and Network Engineering master program? Do you want
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and apply them in clinical studies across different disease areas to generate novel biological insights. As part of the network-wide training programme, you will collaborate with leading international
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the marketing partner for one of RSM's business lines, helping to translate business objectives into effective marketing activities that support enrolment, engagement and growth. Working closely with programme
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR