567 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Norway
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material waste and environmental impact, enabling sustainable processing of healthy and safe foods. Write scientific publications. Teach on Food Processing courses:Food Processing II (MVI261) and Food
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purpose is teaching and research. All profits are used to strengthen BI's academic- and learning environment. Job description Through its academic work, BI has an ambition to make its mark in
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. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see https://www4.uib.no/en/research/research-projects/invisible-women-of-the-sea-gendering-fishery
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You
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employment process can be found here . Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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centres at Faculty of Science and Technology. Read more about the faculty and departments. ess, click here . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296272/phd-research
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with disabilities. More information about NMBU is available at www.nmbu.no/en Questions about the position Volha Shapaval Professor +47 98418248 volha.shapaval@nmbu.no Where to apply Website https
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tasks and responsibilities may vary and/or may need to be adapted based on NORCE needs. Where to apply Website https://karriere.norceresearch.no/en/jobs/7268545-eu-strategic-advisor-proposal… Requirements
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consist of 15 PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors and countries. The candidates will
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in