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Research Council (ERC) Starting Grant project “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde. The PhD student will actively work together with the other members
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of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration
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into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, and on-campus children's day care
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than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language communities, including indigenous language
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postdoc. For this position, we are looking for a PhD candidate eager to deal with the understanding of the diverse values of nature (including biodiversity and ecosystem services) across stakeholders, and
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and