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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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they must: Demonstrate a strong interest in the project and analysis of large amounts of data Demonstrate strong motivation for the project Demonstrate the ability to work independently and in a structured
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the development of breeding systems. Uppsala has two universities and with more than 50,000 students, a vibrant reserach-oriented student atmosphere. More information about the department/division
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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25 Apr 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Law Research Field Juridical sciences » Public law Researcher Profile First Stage Researcher (R1
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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Intelligence team at BNBU The Atmospheric Environment team at HKBU The BNBU team provides leading expertise in explainable AI and big data analytics, while the HKBU team offers core technical support in
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some