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Fixed-term: The funds for this post are available for 5 years in the first instance. We seek a senior post-doctoral researcher with extensive research experience to lead and manage a programme in
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Vacancy terms: Full-time or job share, permanent Hours per week: 37.5 About the role Our School of Computing and Mathematical Sciences are seeking an Associate Professor in High-Performance
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the help of powerful computer algorithms will detect changes in mathematical patterns that define whether someone has cancer. In this job role you will be developing bioinformatics scripts in R and Python
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reliability of data • at all time, including either developing or liaising with others to use chemometrics, ML/AI algorithms and/or multivariate analysis. • Manage your own research activities
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humanitarianism; the politics/geopolitics of AI; algorithmic activism. Applicants should also have the ability to teach across a broad human geography curriculum (including the use of qualitative methods) and be
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machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and/or
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will own accountability and authority of our ML Factory, algorithms, and AI products, and you’ll lead the squads appointed to developing the products. In this role you will engineer solutions that allow
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to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a
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from such machines to derive algorithms expressing their state of health and next maintenance needs. A background in both engineering and machine learning would be useful, although help is readily
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. This paves the way for the application of MPC to large-scale systems, since the computational bottleneck is removed. The basic challenge is how to coordinate the distributed decision making of agents so that