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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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Research Conduct research developing DRUM-AI for personalised training in Parkinson’s and Huntington’s disease. Develop reinforcement learning algorithms that adjust the difficulty of DRUM-AI training in
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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cortex as a surface, with annotations that point to sites of potential malformation (even before they form). The RA on this project would be required to develop and train novel AI algorithms for extracting
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point to sites of potential malformation (even before they form). The RA on this project would be required to develop and train novel AI algorithms for extracting surface models of the fetal cortex and
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a professional and student focused School with high quality teaching, student experience and research informed teaching at the top of its priority list. The School has strong links with local
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of fingers, the shapes of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web