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LevelPhD or equivalent Skills/Qualifications PhD (or equivalent) in mathematics or computer and information sciences or information and communication technology, at least 2 years of documented experience in
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unparalleled opportunities in teaching, scholarship, clinical practice and multidisciplinary collaboration. Innovative academic offerings include bachelor’s, master’s, post-master’s certificate, DNP and PhD
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University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. You have a PhD (or are close to completion) in computer science
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addition to teaching duties, the PhD candidate is expected to conduct research in the field of (deep) machine learning, with applications in either biomedical image understanding (e.g., surgical video analysis in
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. 3 or more years of demonstrable experience in machine learning theory. Excellent teamwork and communication skills Fluent in English The candidate who has obtained the highest score in the selection
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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an increased interest in adapting and developing the latest machine learning methods for the purpose of malware detection, and preliminary results are encouraging. The specific goals of this project include
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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(GME) training programs, as well as other National Institutes of Health T32 training programs and associated graduate programs. The appointee will partner with MCB and GME faculty to develop and co-teach