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of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge interdisciplinary research at the intersection of ML and cancer research, and to contribute
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(EU NIS-2 Directive), e.g., compliance optimization and automatization. The postdoctoral researchers will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program
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interdisciplinary research environment More information about Jönköping University as a workplace, conditions and benefits on www.ju.se . Required Qualifications Applicants must have been awarded a PhD in Computer
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://www.umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest
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-class nanofabrication facilities. The Division of Photonics is a dynamic research environment where light-based technologies drive innovation in communication, sensing, and computing. With expertise in
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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» Biochemistry Chemistry » Other Computer science » Informatics Computer science » Computer systems Computer science » Digital systems Medical sciences » Medicine Medical sciences » Other Researcher Profile First
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge