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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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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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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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environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with savings on tax and National Insurance. We have a genuine commitment to developing our colleagues
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local bus and train companies. You can also take advantage of our cost-effective and environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with
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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