289 developer-"https:" "https:" "https:" "University of Aberdeen" Postdoctoral research jobs in Sweden
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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 Science
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) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and
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Research Infrastructure? No Offer Description Join an interdisciplinary team developing next-generation spectroscopic diagnostics for wound care. Work assignments The postdoctoral researcher will play a
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develop novel electrodes and electrolytes for high-performance aqueous iron- and/or zinc-ion batteries. The work involves studying electrochemical energy storage and degradation mechanisms of electrode
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of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine
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. The successful candidate will have the opportunity to: Design and synthesize novel γPNA and PNA monomers, including backbone-modified building blocks with tailored functional groups. Develop and optimize multi
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collaboration meet. The research topics in the department span fundamental and applied research to contribute to the development of a sustainable society. We are Sweden's largest mathematical department, with
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you motivated to develop next-generation electrodes for electrosynthesis
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to the application deadline What you will do In this poisition, you will be central to the development of the project, and also responsible for the implementation, validation and data analysis of the numerical tools
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas