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We are seeking two Software Engineers to join the Computational Health Informatics (CHI) Lab at the Department of Engineering Science, based at the Institute of Biomedical Engineering in Headington
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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Location: Institute of Biomedical Engineering, Old Road Campus Research Building, Headington, Oxford, OX3 7DQ We are seeking two Software Engineers to join the Computational Health Informatics (CHI
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral
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of novel algorithms to analyse short tandem repeats from short- and long-read sequencing data. Knowledge of current analytic approaches for obtaining insight into the aetiology of mendelian and complex
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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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of Stellar Systems' research group led by Prof. Glenn van de Ven. Our ideal candidate has a solid background in computational astrophysics, strong track record in software development, and keen interest in
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm