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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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of an 8-year program on circular battery technology. The project aims to develop new-generation innovative and circular battery packs for heavy-duty trucks, busses, mobile machines, maritime and
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24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Researcher Profile
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guarantees. This includes working with techniques such as differential privacy and PAC-privacy to enable safe model and explanation release. Familiarity with privacy-preserving machine learning methods is a
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computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome analysis on neuroimaging data\integrate connectome findings across multiple speices work on developing
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; Where to apply Website https://www.academictransfer.com/en/jobs/356141/phd-position-on-multiscale-mode… Requirements Specific Requirements Talented, enthusiastic candidates with strong simulation and/or
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the following PhD project within its MKT research programme at ERIM: · PhD in Consumer Behavior · PhD in Quantitative Marketing · PhD in Fair Machine Learning in Marketing Other fully
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by a strong motivation are also welcome to apply. You are genuinely curious about the brain and enjoy learning beyond your comfort zone. In the absence of previous background in hardware, machine
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to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e. optimization and machine learning techniques) to prepare ports
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motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute for Mathematics at the University