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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in computer science, mechatronics
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on the assessed ability to successfully complete doctoral studies. Particular weight will be given to applicants with a Master’s degree in computer science, data science, applied mathematics, machine learning
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is part of a broader research project, “Restoration Futures in Sweden’s forests for biodiversity & human well-being ". This social science project explores how Sweden will scale up the European Union’s
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, VR, WASP, Google, Amazon, Facebook, and OpenAI, as well as the Chalmers PhD Supervisor of the Year award). Information about the department The Department of Computer Science and Engineering is a
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to receiving your 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
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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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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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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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18 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology Researcher Profile