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Fall 2026. The successful candidate will teach related undergraduate courses, with a strong preference for sports nutrition experience. Applicants must have a PhD in a relevant discipline, or be on track
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candidate will be able to teach intermediate or advanced economics courses, as well as participate in the full range of faculty responsibilities, including scholarly research and service to the University
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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https://cet.ecu.edu/construction/ Advertising Department CONSTRUCTION MGT, DEPT OF Division Academic Affairs Classification Title Assistant/Associate Professor Working Title Assistant/Associate Professor
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. The Department of Geosciences is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298154/phd-candidate-in-hard-roc… Requirements
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://www.osi.lv/en https://targetwise.osi.lv/ Contacts for additional info and document submission recruit_tgws@farm.osi.lv Where to apply E-mail recruit_tgws@farm.osi.lv Requirements Research FieldBiological
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Contact City Warsaw Website http://www.pw.edu.pl Street Plac Politechniki 1 Postal Code 00-661 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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learning environments Excellence in teaching across undergraduate and postgraduate levels, including leadership in curriculum or programme development Successful supervision of Masters’ and/or PhD students
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract