126 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Sweden
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
Materials Science at Luleå University of Technology invites motivated candidates interested in conducting research in Engineering Materials, with a focus on the design and development of advanced
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Fellows program The PhD position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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philosophy of science. It hosts multiple research projects, for example about scientific modeling , final theory claims , and dark matter research . More generally, the department has a strong
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features. No cookies to display. Reject Save My Preferences Accept Skip to content PhD student in Medical Science, AI and Bioinformatics Linköping University Share: Facebook Twitter LinkedIn Email
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi
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qualifications will be considered meritorious: A strong background and solid knowledge in both theoretical and applied security Strong analytical and mathematical abilities A solid background in computer science
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degree. More about being a doctoral student at the Faculty of Science at naturvetenskap.se Doctoral studies | Faculty of Science Subject and project description Magnetism was one of the earliest
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of Science in Power Engineering. The strong cooperation with industry provides students with an opportunity to work on real project tasks in their education. We are currently seeking a PhD-student
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the contact person in the advertisement for further instructions. Instructions to applicants can be found at https://www.bth.se/english/about-bth/work-at-bth/vacancies. It is the responsibility of the
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, mathematical analysis, or applications in areas such as healthcare, autonomous systems, and cyber-physical systems. The project welcomes applicants from machine learning, computer science, mathematics