271 parallel-computing-numerical-methods-"Simons-Foundation" scholarships in Netherlands
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- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Royal Netherlands Academy of Arts and Sciences (KNAW); Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam
- VU Amsterdam
- Wageningen University & Research; Wageningen
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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experiments, design and implement advanced detection techniques, analyse data, and carry out numerical trajectory simulations of deceleration and scattering processes. You will have the opportunity to work with
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Participate in academic training, including methods courses, seminars, and skills-development workshops offered by the Graduate School of the Humanities and other university bodies Complete the PhD project in
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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, the challenge is to develop, validate and test a method that offers personalized, tailored travel and route advice in order to stimulate cycling. This four-year PhD project is part of Horizon Europe project Bio
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, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic