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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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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
computer programs and learn debugging strategies. By the end of the course, students are expected to create a program that helps them solve a problem or perform a task (either self-chose or assigned) in
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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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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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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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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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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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. 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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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including