270 associate-professor-computer-"https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions in Sweden
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Field
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) 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 within a
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analyze historical outbreak scenarios associated with major volcanic eruptions and their cascading effects on environmental and biological systems. These analyses will include well-documented historical
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please contact: Simon Olsson Associate Professor Email: simonols@chalmers.se We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other
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your application by clicking the button below. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ Contact person Leonard Blaschek
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Informatics Computer science » Programming Computer science » Other Educational
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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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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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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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and project developers in reusing them in new projects. Taking the Chalmers campus as a starting point, we are developing scalable, AI-powered methods, such as computer vision for street-view imagery