905 structural-engineering "https:" "https:" "https:" "https:" "Universidade do Minho ISISE" positions in Sweden
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largest mathematical department, with around 200 dedicated staff, including 65 doctoral students. We are a joint department between Chalmers University of Technology and the University of Gothenburg
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large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering
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searching for a computational imaging scientist for the construction and management of an X-ray Multibeam Imaging Instrument at CoSAXS beamline within the SSF-funded project: “X-ray Hierarchical 3D Nanoscopy
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offerings and good commuting opportunities. Welcome to the Faculty of Textiles, Engineering and Business! Your work tasks As a researcher with us, you will be part of the project "A selective purification
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will carry out research in an interdisciplinary team with experts in materials science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division
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of the Software group, you will work in close collaboration with scientists as well as network, system, software and hardware engineers and scientific software experts. We promote a DevOps style cross
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The Faculty of Social Sciences' newly established Methods Centre is looking for at least one research engineer for a fixed-term employment. Description of the workplace At Lund Social Sciences
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Department of Biosystems and Technology Subject area: Agricultural Science About the position Crop diversification is a set of agroecological practices, e.g. diverse crop rotations (varying
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4 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Engineering, LTH, Construction Sciences Research Field Engineering Researcher Profile
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning