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platforms will be designed, capable of efficiently exploring complex mixed variable design spaces on the microlitre scale. Our multisite reactor network will be driven by next generation machine learning
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persons whose work falls within the broad fields of applied mathematical analysis and the mathematics of computation and data science, which includes PDEs, numerical analysis, the mathematics of machine
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(UKHSA), and aims to investigate use of machine learning for prediction of infectious diseases outbreaks. Using data from routine surveillance of respiratory infections in the first instance, the
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be part of a small team, led by Dr Susanne Bornelöv, which studies gene regulation using various approaches including machine learning, evolutionary genomics, and sequencing bioinformatics. Our team is
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important aspects of the role are: (i) the development and delivery of computer-based exercises which run alongside, and serve to illustrate, the lecture courses; (ii) the development of the curriculum in
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grant funding remaining in place. Holding a PhD in Music or a related discipline and with a record of, or clear potential for, outstanding research, you will be a scholar whose research activities fall
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. The PDRA should have a relevant specialist area in data science, including managing and structuring data, programming, developing and applying theoretical methods and machine learning models for data
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data-driven big data and machine learning approaches. The Research Associate would be responsible for undertaking the study in Cambridge, as well as some aspects of study co-ordination or data analysis
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with biophysical models and machine learning methods, to studies in both mouse models and patients. Applications are invited for a Research Associate to join the VISIONLAB, which is co-located in the Department
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. with R and Python. Experience in machine learning. Background in molecular biology concepts and an interest in immunology. Passion for unravelling complex biological systems. Excellent communication and