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with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP
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/en/339893/phd-position-in-machine-learning-for… Contact City Enschede Website http://www.universiteittwente.nl/ Street Drienerlolaan 5 Postal Code 7522 NB STATUS: EXPIRED
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PhD Position in Machine Learning for Green Credit Scores PhD Position in Machine Learning for Green Credit Scores Published Deadline Location today 31 May Enschede Job description The goal is to
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RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and
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Research Framework Programme? HE / MSCA Marie Curie Grant Agreement Number 101120240 Is the Job related to staff position within a Research Infrastructure? No Offer Description Machine Learning for Quantum
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within the IN-DEEP project you will be at the forefront of developingnew hybrid machine learning (ML) accelerated solvers. A fast-expandingarea of research is the application of ML techniques to predict
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available validated DEM simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data
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Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation. Creating optimised libraries is a difficult and time-consuming task, requiring
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simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data together in a Digital Twin
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Funding providers: Swansea University's Faculty of Science and Engineering Subject areas: Computer Science (Machine Learning/Pattern Recognition applied to molecular cardiology) Project start date