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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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) Engineering design: Sustainability/net zero/decarbonising Engineering analysis: Materials characterisation and testing Renewable energy: Tidal/wave Robotics and control Nuclear engineering About Daphne Jackson
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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). We are home to several national institutes and centres (e.g. National Epitaxy Facility, The National 6G Radio Systems Facility, National mmWave Facility, Rolls-Royce Control, Monitoring and Systems
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar
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may include NeoSep1: a global randomised controlled trial comparing novel combination and existing antibiotic regimens for the empiric treatment of clinically diagnosed neonatal sepsis; NeoSep LTFU1: a
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI