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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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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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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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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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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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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
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Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for thePhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method
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/InstituteDelft University of TechnologyCountryNetherlandsCityDelftPostal Code2628 CDStreetMekelweg 2Geofield Where to apply Website https://www.academictransfer.com/en/338964/phd-position-machine-learning-on-gra
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PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance