321 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"University-of-Strathclyde" PhD positions in Netherlands
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of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented
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we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at
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we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at
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programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts
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of 16 academic & industrial partners will train 14 PhD fellows (3 of which are to be hired through this call). What GenAIDE offers you: A structured, four-year PhD training programme that mixes
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with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers
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developments in experimental physics. You have a strong interest in and affinity for programming and preferably experience with C++ and/or Python. You are able to work in a team as well as independently. You
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Engineering, Applied Mathematics, or a related field. Solid background in dynamical systems, modeling, and control. Some programming experience Strong analytical mindset and problem-solving attitude. Good
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key