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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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metabolomics integrated with clinical data. The project seeks to identify drugs that can target and potentially reverse disease-associated metabolic alterations. We are looking for a highly motivated Post-Doc
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X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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OF THE UNIVERSITY OF SILESIA IN KATOWICE announces the open call for the position of Assistant Professor (post-doc)[1] in the group of research staff financed as a part of the research project OPUS “INFLUPOL
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
for this position. The Post-Doc chosen for this project should have a broad range of skills including at least several of the following: Development of experimental methodologies that allow the rigorous collection
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who can provide references; Copy of PhD diploma (or equivalent); Contact information, including e-mail address and phone number; Statement by the candidate that he/she will not receive remuneration from
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"My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail employ@umn.edu or call
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laboratory investigations with inorganic mercury and methylmercury. Acquire and analyze data using a range of analytical instrumentation. Maintain detailed and accurate records. Prepare oral and written