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research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
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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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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Main responsibilities The Pollak Dorocic lab at Stockholm University studies the diversity
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methods for surface analysis and gas-phase diagnostics working with catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements