18 parallel-and-distributed-computing-phd PhD positions at Delft University of Technology (TU Delft); yesterday published in Netherlands
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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framework that is now being developed in the Laan Lab. You will be part of a multi-disciplinary team, including another PhD student who focusses on the genomics of adaptation and a postdoc who will analyse
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Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims
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close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates, postdocs, and faculty members. Our group focuses on understanding and
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(or an equivalent degree which allows you to start a PhD) in physics, earth or planetary science, or a closely related field Background knowledge in planetary interiors Familiarity with continiuum mechanics
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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the classical to the quantum world while developing real-world applications in quantum sensing? Then this PhD position is for you! Quantum technologies are based on uniquely quantum effects. Among them, sensors
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preferences. This PhD position addresses these challenges by developing generative AI models that can produce complete ship designs. Your responsibilities To be able to generate preliminary, regulation
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do at TU Delft. As a PhD student in our teams, you will investigate how to interface electron beams with the motion of a levitated solid object containing billions of atoms. By combining techniques
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. The zero-emission laboratory of MARIN can be used for validation of the control strategies with real components. The candidate will be part of a large team of PhD students working on different aspects