17 parallel-computing-numerical-methods Fellowship positions at UCL; in United Kingdom
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by
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. The work will develop new methods for generating privacy-preserving data that remain useful for the operational decisions ultimately made from them, rather than treating data generation and decision making
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. The Shipping and Oceans Research group’s multi-disciplinary work on the shipping and ocean system leverages advanced data analytics, cutting-edge modelling, and rigorous research methods, providing
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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and evaluation of the developed methods using relevant imaging datasets and downstream computer vision tasks. This appointment is subject to UCL Terms and Conditions of Service for Research and
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. ISO 13485, ISO 14971, IEC 60601, UK MDR) is desirable, as well as experience of applying signal processing or machine learning methods to physiological or sensor data. Application details: Applications
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bringing transparency to this emerging science. About the role The post holder will develop diagnostic and other biomedical sensing methods using the optical and spin properties of molecular quantum
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Applicants must have a PhD in Epidemiology, Health Informatics or Applied Data Science, and an a high level of relevant postdoctoral research experience in applied health research, good experience of data
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science, neuroscience, computer science, psychology or a related field. They should have strong Python skills, experience with transformer language models, knowledge of interpretability methods and
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hold a MSc qualification (or equivalent) in a relevant discipline such as epidemiology, statistics, public health, health informatics, data science or demography, alongside a doctoral degree or