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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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qualifications equivalent to at least 90 ECTS credits in a Computer Science program and at least a basic knowledge of cybersecurity. For task number 3 high proficiency in Swedish is a requirement. It is an
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for the position: An established and active research program in Neuroengineering. Deployment of engineering-based methods for development and analysis. Experience of research conducted in close collaboration with
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class sessions, assisting teachers in class sessions and laborations, assisting teachers at seminars and marking exams in Quality Management and Engineering courses. Work may also include lighter forms
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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maximum of 20 per cent of full-time. Your qualifications You have a master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed courses with a
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application! We are looking for a PhD student in Environmental Science for research on Greenhouse Gases and Biodiversity in Agricultural Landscapes using Drone and Satellite measurements. Your work assignments
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3 Apr 2026 Job Information Organisation/Company Linköping University Research Field Chemistry » Inorganic chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026
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, experience and expertise are required: A PhD or equivalent e.g. a master’s degree with several years of working experience in natural sciences, computational sciences, engineering or mathematics. Experience in