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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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technologies. About the role This position will help to deliver the goals of the project by helping to develop the photonic integrated circuits needed to generate the THz control signals and deliver them
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products. We aim to understand the predictability of these forecasts as a function of lead time, spatial scale and the controlling physical processes or phenomena. You will also lead on the evaluation
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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execution of clinical trials with other team members and to take responsibility for delivering the required studies. Provide medical oversight of trial participants including those enrolled in controlled
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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fidelity software-based simulation tools to advance the design, optimisation and manufacture of magnetic field shielding and control systems for a diverse range of applications. These field control
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource