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for personal and career development; Free parking, use of company bicycles, and use of an electric car charging station. Eligibility criteria Completed Master degree or equivalent education at University level
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
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) assessed at Have completed or be near to completion of a PhD (or have equivalent experience) in a relevant research area related to Electrical Machines and Power. E Application & Interview Research
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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meet the following requirements: Doctoral degree (PhD) in Electrical Engineering or a closely related field At least (3) three years of experience in the position of associate professor, professor
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science » Programming Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Mathematics » Statistics
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer