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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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large-scale biomarker informatics. The role will require good skills in statistical analysis, machine learning, preferably in R and/or python, and LINUX/bash. You will be able to work independently and
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your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience. What you'll do at work Key Responsibilities (i) Provide a high level of administrative support including
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD
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* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension contributions Discounts at restaurants, shops & more Outdoor gym Death in
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neonatal pay. Flexible working. Childcare - Bright Horizons Long Road nursery is located on campus. Health and Wellbeing benefits: Travel Benefits for travelling by bike, public transport or car: Additional
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. The successful applicant will have the opportunity to develop skills in mathematical modelling, advanced numerical simulations and machine learning. Fully involved in the basic research in these areas whilst also
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successful candidates will need to demonstrate ability and experience with statistical and quantitative data analysis, particularly at the firm level, machine learning methods for analysing text and extracting