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Field
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to the research; Good understanding of computer architecture; Basic understanding of MRI algorithms is a plus; Understanding of AI and its practical implementations; The ability to work in a team and take
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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 As drones and air taxis enter cities, understanding and
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innovation programme under the Marie Skłodowska-Curie (Grant Agreement No.: 101227148) The position is one of 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning which clearly integrates the two subject areas within the division
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. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also expected
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PhD Position in AI and Data Science for Modelling and Analyzing Reading Text Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype
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the University of Bergen, Norway. Supervisors: Prof. Martin Reincke , Prof. Nicole Reisch Location: Ludwig Maximilians University Hospital Munich, Germany Duration: 3 years (with possibility of extension) Start
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applying General information: Contact For questions about the project, please contact the primary supervisor Prof. Dimitra Vasiliadis: dimitra.vas@gmail.com For questions about the ENDOTRAIN programme