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Field
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of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will
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the volcanoes of the Eastern Caribbean as a focal point and, with our international partners, will demonstrate how this knowledge can improve monitoring and warning systems in the Eastern Caribbean. The
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combination of classical signal processing methods with state-of-the-art machine learning techniques, and you will thus find yourself in the intersection between emerging research domains and innovations, where
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to Professor Guilio Del Zanna at gd232@cam.ac.uk If you have any queries regarding the application process, please contact LE46579@maths.cam.ac.uk Click the 'Apply' button below to register an account with our
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at ben.allanach.work@gmail.com . If you have any queries regarding the application process, please contact LE46560@maths.cam.ac.uk Limit of tenure: one year, the funds for this post are available until the end
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on the design and testing of antimicrobial compounds in response to infection-specific signals. The group is seeking to fill the position of a Postdoctoral Researcher (m/f/div) in Antimicrobial Peptide
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per week and will be funded for 12 months in the first instance at Grade 6B Point 25. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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biomedical sciences focused on cell motility and the cytoskeleton, muscle signalling, stem cells and developmental biology. About the role Manipulating a morphogen in time and space A morphogen is a special
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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning