235 coding-"https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Sweden
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offering a high living standards, access to a sprawling city life as well as the beautiful nature surrounding the city. https://ki.se/en/research/research-areas-centres-and-networks/research-groups/robert
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Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator
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available1Company/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code 412 58 STATUS
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on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
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at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous experiences with collaborative coding with GitHub Previous experience with cloud-based platforms About the
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, including participation in regular group meetings and events. You can read about the workplace: https://liu.se/en/organisation/liu/ifm/mdesign The employment This employment is a temporary contract of two
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science and innovative programming. Read more at https://liu.se/ida You will be employed in the Machine Reasoning (MR) Lab which is one of the units at the division Artificial Intelligence and Integrated
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models