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PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes
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ASPECT, StagYY or GAIA Experience with high-performance computing, preferably under a Linux operating system Excellent communication skills Fluency in English (written and oral) Desirable Qualifications
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, equipment, and travel related to the project. Overview Deep geothermal reservoirs can provide a long-term, sustainable supply of heat and energy to serve society’s needs. The performance and operational
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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PhD Studentship in Medicinal Chemistry: High-throughput chemistry and direct-to-biology testing to accelerate drug discovery Award Summary 100% fees covered (home fees only) and a minimum tax-free
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models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer vision, robotics and radar, such as NeurIPS, CVPR, ICRA
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heat stress and improve thermal safety, comfort, and performance in challenging environments. Your tasks Your task will be Develop, adapt, and validate experimental and computational methods
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Thermal batteries (often termed primary reserve batteries) offer several key advantages over primary and secondary batteries due to their long shelf life, high temperature stability, quick
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this: new chemistry methods that let around 100 candidate compounds be made, purified and tested for biological activity together, in a single operation taking as little as a week. You will apply this new
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Research Council (NWO), which investigates foundation models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer