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additional tasks include to improve our main simulation tool (Atmospheric Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models
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Researcher (R3) Application Deadline 15 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Centre for Mathematical Sciences at Lund University, Faculty of Engineering
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related field (for thepolicy-focused position). Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing
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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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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
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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22 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Department of Computer Science Research Field Computer science Researcher Profile First Stage
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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry