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About us The Radar Group within the Electronic and Electrical Engineering Department at UCL has a strong focus on practical applications of Radio Frequency (RF) sensing. Our research aims to advance the performance of RF sensors in increasingly challenging operational environments. This work...
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Education, or be working toward or holding a doctorate in a relevant specialist discipline. They will also possess sufficient specialist knowledge to work effectively within established research programmes
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. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops
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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling
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programmes, a proven ability to manage your own academic research and associated activities, experience of contributing to publications and presentations, and excellent communication skills, including
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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, society, and human behaviour. Grounded in applied knowledge and social impact, our programmes are designed to equip students with both theoretical insight and practical skills to make a difference in
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well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience. Please view the job description and person
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research methods and techniques to work within established research programmes This is a full time (35 Hours per week), and you will be offered a fixed term contract until 31/08/2028. About You To be
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specialist knowledge in the discipline to work within established research programmes, a proven ability to manage your own academic research and associated activities, experience of contributing