41 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of Liverpool
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proficient in software development (e.g., using Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands-on experience in designing, building, modifying
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systems, ideally including mobile manipulators. You will be proficient in software development (Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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facilities including the Materials Innovation Factory and the Centre for Long-Acting Therapeutics (CELT Global Health). You Should Have: - A PhD in chemistry, physics, engineering, materials science, or a
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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nature of the role, prior experience in working with rheodialysis technique is an essential requirement. The position will be hosted in the Department of Materials, Design and Manufacturing Engineering at
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We are seeking an ambitious and intellectually driven post-doctoral researcher to join our dynamic cancer research team at the University of Liverpool. Our research programme investigates how
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of the project we welcome applications from candidates who hold a PhD in a range of fields including Physics, Chemistry, Materials Science, Engineering. To apply for the position please follow the apply link and
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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critical for predicting future changes to fisheries production and deep ocean carbon storage as the ocean warms. Biogeochemical-ecosystem models are currently used for this purpose but have difficulties: in