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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. We are looking for an industry/collaboration-based PhD student in remote sensing to develop methods
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application! We are now looking for 1-2 PhD students in Automatic Control, at the Department of Electrical Engineering (ISY). Your work assignments The announced positions are within our new competence center
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performance. Funded by the Swedish Research Council, this research is hosted at the Division of Chemical Physics. About us The research at the division of Chemical Physics at Chalmers University of Technology
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application! Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental
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research in collaboration with stakeholders. The PhD project is part of two key initiatives: the Competitive Timber Structures research profile and the BioGlue Center: Competence Centre for Bio-based
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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and clinical development in the field. Qualifications Requirements for the position: PhD in medical radiation physics, with special focus on diffusion MRI and water exchange modelling. Experience with
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Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation