63 distributed-algorithm-"Newcastle-University" Postdoctoral positions in United Kingdom
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We are seeking a creative and motivated neuroscientist to investigate how distributed brain circuits support flexible learning and decision-making. The postholder will join the Adaptive Decisions
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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Location: Mansfield Road, Oxford OX1 3QT We are seeking a creative and motivated neuroscientist to investigate how distributed brain circuits support flexible learning and decision-making
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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populations. Knowledge of real-time control algorithms for assistive or rehabilitation systems. Experience contributing to patent applications, translational research, or spin-out formation. Downloading a copy
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strengths in global health research, bringing cohesion to the distributed community of Oxford scholars working in this area, transforming the visibility of Oxford Global Health externally, and championing key
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. Experience conducting or supporting user studies involving patients or vulnerable populations. 4. Knowledge of real-time control algorithms for assistive or rehabilitation systems. 5. Experience