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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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models and systems. Who we are looking for We are seeking a motivated and skilled researcher with a PhD in Electrical Engineering (e.g., electric power systems, automation, or control) or a related field
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and healthy aging, employing iPSC-derived cellular models, skeletal muscle differentiation, and three-dimensional muscle tissue engineering. Requirements: PhD in Genetics or related fields; demonstrated
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, and international projects. Candidate Profile PhD (or near completion) in Chemical Engineering, Energy Engineering, Environmental Science, Materials Science, or Sustainable Process Engineering. Research
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employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics
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, and Computer Science & Engineering. The Computer Science Department at Aalborg University takes a leading international position within data management and verification. Aalborg is an attractive student
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research agenda within the NLP@DSAI group at Chalmers. The position also offers opportunities to be involved in teaching and supervision. About us The Computer Science and Engineering department is strongly
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skills to collaborate across disciplines. Must haves for PhD (all tracks): A master's degree and outstanding academic record from a top university in Materials Science, Mechanical Engineering, Electrical
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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                The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics