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. The successful candidate will have an engineering background and expertise in the development and deployment of radar-based technology for geophysical monitoring, and in the processing and interpreting of data
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid chemistry and surface functionalisation
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About Us The School of Immunology & Microbial Sciences at King’s College London (KCL), along with its Department of Infectious Diseases, enjoys international acclaim for employing a wide range of
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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at the Yusuf Hamied Department of Chemistry, University of Cambridge to work on the BBSRC grant "A Platform for Identifying GlycoRNA and Identifying Biases in RNA Pulldown". The role is to develop methods
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research projects require a creative, multidisciplinary approach, and as such provide opportunities across parasitology, structural biology, biochemistry and cell biology including single molecule
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field such as psychology, mental health, behavioural science, digital health, or a related discipline Experience working with quantitative data and relevant software for data management and analysis (e.g
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The College of Engineering and Physical Sciences (EPS) is seeking to appoint a Postdoctoral Research Associate – Digital Twin Training & SME Onboarding on a fixed-term, full-time basis. This is an
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical