623 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" scholarships in United Kingdom
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via
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information and a detailed description of the research project, hit the 'APPLY' button above. Application Deadline: This PhD studentship offer will remain open until filled.
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enabler for advanced connectivity. We expect to develop a working proof-of-concept semiconductor design that demonstrates enhanced performance metrics (e.g., data-rate, power-efficiency) compared to current
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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Electronic Engineering (Bio-electronics) (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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. For this role, the successful candidate must be able to demonstrate their right to work in the UK prior to commencing employment and obtain the right to work in the UK. Information on other visa options is
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. This research will deepen our understanding of temperature-sensitive reproduction and could ultimately guide new strategies to improve crop resilience in a warming world. For further information and to apply
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent