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Field
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided
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software development, and time management. The candidate will regularly visit the MetOffice for scientific exchanges and data acquisition. Useful recruitment links: For information relating to the research
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recording. Your results will contribute to the UK’s growing expertise in terahertz systems, with opportunities to collaborate through the UK THz Systems Network. You will work across the Departments
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resources, networks, and training for impactful conservation AI. Useful recruitment links: For information relating to the research project please contact the lead Supervisor via: s.rowlands@exeter.ac.uk
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero
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management experience across multiple industries, build an extensive professional network spanning academia and industry, and cultivate commercial awareness that enhances your career prospects. Alumni from
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to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements Applicants should have a first or
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collaborative, multi-disciplinary research groups at the University of Plymouth and Marine Biological Association, and with strong ties to national and international networks. You will benefit from regular