254 computing-"https:" "https:" "https:" "Dublin City University" Postdoctoral positions in Sweden
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post doctor within mucosal B cell immunology “The Department
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analytical perspectives. The cluster is part of the national research programme The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), funded by the Wallenberg Foundations
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computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. At the Division of Systems
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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
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and Software Program). WASP | Wallenberg AI, Autonomous Systems and Software Program which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT) , a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and
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for Computational Mechanics and Materials Engineering , which belongs to the department of Mechanical Engineering at Chalmers University of Technology In the division of Computational Mechanics and Materials
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Cardiovascular research
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:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department