171 parallel-and-distributed-computing-"UNIS"-"Meta"-"Humboldt-Stiftung-Foundation" PhD positions in Netherlands
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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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 Leiden University is a world-class
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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focused around four themes: Language and communication Perception, action and decision-making Development and lifelong plasticity Natural computing & neurotechnology Excellent, state-of-the-art research
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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of the natural sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary