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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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previously acquired knowledge. We will study collaborative learning scenarios, where multiple devices or sensors jointly process and learn from data streams. Such settings introduce additional challenges
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awarded in the second cycle, or acquired essentially equivalent knowledge in some other way in Sweden or abroad. degree or equivalent as above in Chemistry, Physics, Materials Science or Data Science. very
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systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking
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engineering physics, electrical engineering, data analysis, computer science, applied mathematics or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at
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, applied statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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Immunology, Clinical Pathology, and Hospital Physics at Uppsala University Hospital. The department has teaching assignments in several education programs, including Master Programs, at the Faculty of Medicine
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14 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Materials Science and Engineering Research Field Physics » Other Researcher Profile
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in chemistry, physics or materials science, or be expected to complete such a degree before the employment begins, or have completed at least 240 credits in higher education, with at least 60 credits
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chemistry, materials science, chemical engineering, materials physics, or a related field, or completed at least 240 credits in higher education, with at least 60 credits at Master's level including