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7 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
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, where research on engineering of large-scale software-intensive systems is conducted in the Software Engineering unit. The unit is a world leader on empirical software engineering. In
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interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently includes the PI, a PhD student, and a research expert in bioinformatics
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Description of the workplace The position is located at the Division of Industrial Electrical Engineering and Automation ,IEA , LTH, Lund University. Our mission is to conduct research and provide
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Uppsala UniversityDepartment of Materials Science and Engineering, 202100-2932 at the Division of Biomedical Engineering, Department of Materials Sciences and Engineering, Uppsala University
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Engineering and will become part of the national graduate school FOFOS – Research School for the Transformation of the Public Sector (https://www.mdu.se/forskning/forskarskolor/forskarskolan-fofos ). FOFOS is
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7 Jan 2026 Job Information Organisation/Company University of Borås Research Field Technology » Biotechnology Physics » Other Engineering » Materials engineering Researcher Profile Recognised
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://www.academiceurope.com/ads/software-engineer-w-m-d-fur-batteriespeicher-analyse/ Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads
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Description of the workplace We are looking for a talented, motivated, and creative researcher with experience in intestinal cell biology, interested in applying this knowledge to bioengineering techniques such as organs-on-a-chip and biomaterials. You will become part of the interdisciplinary...
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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