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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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analysis of geophysical models and rigorous justification of their derivation. The holder will also be expected to plan and manage their own research and administration, with guidance if required. You must
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer
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of research methods and techniques to work within established research programmes. Applicants will be able to demonstrate experience conducting field-based ecological or environmental science research
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about Cancer Immunology, T cell Biology and translational research and will have good knowledge of these subjects to contribute to established research programmes. Excellent project management abilities
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commercial risks to unlock these resources for broader markets. It will combine empirical field studies, numerical and analogue modelling and computational approaches to drive a step change in our ability
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context. Able to plan and prioritise workload and keep clear and well-organised laboratory notes and records. Desirable criteria Background in cardiovascular biology Expertise with studying autophagy
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times