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on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes involved in resistance
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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skills and experience: Essential criteria Upper second or first degree (BA, BSc or equivalent) and PhD in behavioural, social, management or health sciences, or in a discipline with a health-related
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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methods based on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes
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and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
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successful in this role you will have: A Masters or PhD in a related discipline, and relevant experience in the fields of systematic reviews and meta-analyses, especially in the fields of PTSD and grief
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Artificial Intelligence, META Center for Host-Microbe Systems Biology, the Center for Genome Function, and the Materials Science Institute. The Department’s educational mission focuses on undergraduate and
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Responsibilities Lead and co-author peer-reviewed publications, funding applications, and reports Design and facilitate workshops, public talks, and community engagement activities Conduct a meta-study on