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to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
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develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing
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assistant, and have expertise to teach foundational AI courses such as introduction to AI, machine learning, deep learning, and large language models, as well as advanced AI courses aligned with
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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
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School, College and University committees, and may also lead a discipline area or strategic learning and teaching portfolio. To be successful in this position, you’ll have: PhD or demonstrated equivalence
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with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
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, anthropology, sociology and political science. The successful PhD applicant will be a member of the Centre for Business and Development Studies (CBDS). Please see: https://www.cbs.dk/en/research/department
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Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum
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funds, facilities and resources which includes things like PhD scholarships, seed funding and research spaces. Collaborative approach: Engage with staff and HDR candidates across all relevant teams
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spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed—ideally a creative use