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Field
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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). We are seeking a highly motivated researcher to join our team. We use a wide range of molecular, cellular, transcriptomic, and advanced imaging techniques, in combination with ex vivo and in vivo
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Functions The successful candidate will lead a project investigating the immune-cardiac stroma interphase in heart disease, using a combination of molecular and cellular biology approaches, mouse models
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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success and publication history, with an MD, PhD or MD/PhD degrees, and very strong references. We are seeking a candidate with expertise in immunology. Previous experience in cancer research, molecular
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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this hydrogen generation model with the ammonia synthesis module. Find out more about the Hayward research and group at: https://www.chem.ox.ac.uk/people/mike-hayward. About you Applicants must hold a
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We are seeking to appoint a highly motivated Postdoctoral Researcher with expertise in innate immune responses to cancer, in vivo/in vitro experimental models, and advanced molecular techniques
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researcher interested in conducting cutting-edge research on the molecular and neural circuit mechanisms underlying early-stage Alzheimer's disease and related neurodegenerative diseases. The laboratory
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: Prior background in studying bio-molecular condensates using a combination of biochemistry, fluorescence and quantitative modeling methods is highly desired. Prior backgrounds in single-molecule imaging