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Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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Centre for Sustainability Studies (LUCSUS), Sweden. The successful candidate will be part of the project “Social consequences of digitalisation of agriculture: Carbon farming actor networks and impacts
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for bacterial diagnostics. How bacteria organize their DNA and how this structure influences gene expression remain open questions. This project focuses on the structure–function relationship of the bacterial
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position within a Research Infrastructure? No Offer Description Description of the workplace This project is a collaboration between Prof Karen Edler (Lund University), Dr Tom Arnold (ESS), and Dr Hanna
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
We invite applications for two fully funded, two-year postdoctoral projects in Intracellular Host-Pathogen Interactions with a focus on the obligate intracellular bacterial pathogen Chlamydia
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. These species have been chosen to probe the evolution of advanced visual capabilities such as colour and polarisation discrimination at a cellular and molecular scale. This project will connect with the broader
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providing alternative solutions to the overall societal challenge of lowering the environmental impact of plastics. About the research project Recent awareness of the impact of fossil-based plastics and their
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research project Recent awareness of the impact of fossil-based plastics and their littering is prompting questions about the use of traditional plastics in light of their expected lifespans. This offers
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Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low