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carbon and greenhouse gas fluxes into this model, and validate it against observational data. Through numerical simulations, you will assess the impact of various parameters on fluxes and use machine
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(demographics, devices, services, delivery, genre and modes of play); (2) Use this composition to model the energy and environmental footprint for different forms of gaming; (3) Uncover the meanings and
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! About the project Machine learning methods typically can only solve the tasks that they have been specifically trained to solve. They first adapt (train) a mathematical model on a number of examples and
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is spring 2025, or as otherwise agreed. Project description The research group where the candidate will work studies heteroresistance and its mechanisms with a focus on how variations in gene copy
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persons who focus on the high-fidelity modelling, planning, development and management of wind power projects, as well as on sustainable energy transition. These individuals have a range of backgrounds, and
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agreed. Placement: Uppsala For further information about the position, please contact: Professor Zhen Zhang, e-mail: zhen.zhang@angstrom.uu.se , phone: +46(0)18-471 3131. Please submit your application by
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position, please contact: Associate Professor Eva Darulova, e-mail: eva.darulova@it.uu.se . Please submit your application by 22 April 2025, UFV-PA 2025/641. Are you considering moving to Sweden to work
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universitetCountrySwedenCityUppsalaGeofield Contact City Uppsala Website http://www.uu.se/en/about-uu/join-us/jobs/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger