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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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program! At Karolinska Institutet, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology covers research that fundamentally
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Nanomicrosystems is looking for a PhD Student (f/m/d). The position is announced in frames of Research Training Group "Supracolloidal Structures: From Materials to Optical and Electronic Components" (GRK 2767
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
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Apply now PhD Candidate in Immuno-biology and Infectious disease The Faculty of Science Leiden, the Leiden Institute of Biology and Leiden Institute of Chemistry are looking for a PhD candidate to
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Universiteit van Amsterdam, Korteweg - de Vries Institute for Mathematics Position ID: 1729 -PHDPOSITION1 [#26749] Position Title: Position Location: Amsterdam, Noord-Holland 1091, Netherlands
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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 15/09/2025 Research theme: "Materials
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both the fundamental physics of electromagnetic materials and practical applications in 6G communications. The PhD is 4 years and funded by DSTL (Defence Science and Technology Laboratory), and you will
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Job Advertisement HKI-32/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/#de29c491dc573cbcfa7d21f197d4c790hxnVEVlvLh
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materials and energy-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon