95 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Bristol
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in
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technologies using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. Depending on the successful candidate’s experience and track record in
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development and capacity-building initiatives. You hold a PhD in immersive technologies or related fields (e.g., VR/AR/MR/XR, HCI, AI for XR, computer graphics). You have proven ability to teach at a high
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application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select
on the Programme Choice page. You will be prompted to enter details -
for this appointment. A summary of our approach can be found here, http://www.bristol.ac.uk/students/support/wellbeing/request-support/services/counselling/one-to-one/ . Please see the attached Job Description and
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related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly research. You demonstrate excellent communication, leadership, and collaborative skills. You
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machine learning techniques to address new research challenges (ideally with track record in distributed/federated AI or embedded neural networks). •You have a track record in one or more of the following
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closely related field. You have proven ability to teach at a high standard and an emerging track record of scholarly research. You demonstrate excellent communication, leadership, and collaborative skills