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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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algorithms for 3D meshes in a web XR context. This Knowledge Transfer Partnership (KTP) project between Smartify and the University of the West of Scotland (UWS), will deliver an AI driven system
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing documentation and user support. You will be responsible for leading statistical
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algorithms, models, and their optimization techniques Knowledge of TensorFlow, PyTorch, etc. Effective communication (oral and written) skills, ability to write research reports and papers in style accessible
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, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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. This motivates the paradigm of sublinear time algorithms: algorithms that are capable to doing meaningful computation by examining only a minuscule fraction of their inputs. This project will focus on carrying out
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to Computational Thinking, Algorithms, Data Structures, and Software Development and will have supervised dissertations at both undergraduate and postgraduate levels. The post-holder will be an excellent