600 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in Norway
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this means that you must have more than 5 years of what is called higher education in your home country. Please confer the GSUlist for relevant information pertaining to your home country: https
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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, gender, class, elites, and education. Applicants are asked to familiarize themselves with the research profile of the department when designing their project: http://www.uib.no/sosio/38157/forskningsprofil
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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. For more information about our current research operations and our latest publications (including Patel et al, 2025, Fei et al, 2023; Karttunen et al, 2023; Sahu et al, 2022; Sahu et al, 2021), see https
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utilization and development of materials. The Department of Physics is one of eight departments in the Faculty of Natural Sciences . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294062
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Language requirement: Fluent oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no
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will become member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a