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with large-scale neuroimaging and multimodal datasets. You will design and conduct neuroimaging analyses, coordinate data processing pipelines, and perform advanced statistical and computational analyses
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational
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the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM
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First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
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for high-performance organic photodetectors. The work integrates molecular and materials design with organic synthesis, purification, and thin-film characterization, in close collaboration with partners
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is a strong characteristic of our project portfolio, both with large companies and SMEs. The main research focus is on developing high-performance metallic materials that are resistant to burning
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the society and industry, we strive to solve society's major challenges – together. At the Division of Fluid Dynamics , we develop advanced experimental and computational techniques to investigate flows in both
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education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with