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KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours
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following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
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three laboratories to support work in this area, focussing on Smart Grid and Power Systems Modelling, Electrical Machines, and Power Electronics, to underpin research across a range of applications from
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matching post based at Teesside University); (3) nature and natural heritage (the focus of a matching post based at Newcastle University); (4) active evaluation for learning (e.g. research conducted by team
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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aware of any hazards. • Learn how to use everyday equipment and tools [e.g. cleaning machines] from more experienced colleagues. • Follow instructions from more experienced colleagues to deliver set
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the ecosystem. Any decline in bee populations could pose a threat to global agriculture. In this context, the EU-funded RoboRoyale project is developing and combining micro-robotic, biological and machine
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, data analyses and machine learning workloads Have the capability to tackle problems difficult or impossible to achieve on most desktops or laptops Exploit the capacity to run many tasks at the same
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Engineering, potentially including Power Electronics, Machines and Drives, Network Optimisation and Reliability, with the ability to teach our students to an exceptional standard and to fully engage in
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interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we are particularly interested in applicants aligned