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discrete optimization, demonstrated by at least one publication, is essential. Strong familiarity with stochastic optimization methodology, particularly sample average approximations and two-stage stochastic
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and experience in using these algorithm for electrical engineering problems Excellent knowledge on control and optimization algorithms with implementation to power electronics design experience Good
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/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and
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derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium, and you will be among colleagues working on a
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for future generations. Equally, we have the potential to dramatically improve the wellbeing of people across the planet. It is this combination of urgency and optimism that characterises all our work at the
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and contrast the rapid physiological responses to breath-hold diving. Complementary research activities include the analysis of VOCs emitted from plants to understand optimal conditions for controlled
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complex properties. You will apply these models to improve tomographic image reconstruction using numerical optimization and iterative techniques. Collaboration is at the heart of the Crick’s culture. You
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of the REFINE-MS trial, a multi-centre, phase 3 study led by Professor Olga Ciccarelli and Professor Max Parmar at UCL. The trial aims to identify the optimal dosing frequency of ocrelizumab in patients with
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of urgency and optimism that characterises all our work at the Oxford Martin School. For more information please visit www.oxfordmartin.ox.ac.uk . What We Offer Working at the University of Oxford offers