549 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Postdoctoral positions in United Kingdom
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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work on public health interventions to reduce consumption of harmful ultraprocessed foods (UPFs). Based in the Population Health Interventions Programme, the primary role of this post is to lead
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research team at the University of Liverpool. The project aims to develop novel microparticulate-based drug delivery technologies designed for controlled and programmable drug release, contributing
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of researchers to develop new heterogeneous catalysts for conversion of CO2 to light olefins using high-throughput experimental techniques and AI tools. You will have a PhD in chemistry or chemical engineering, a
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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gaps in our understanding of disease biology and treatment response in Black men. Our project aims to close these gaps by developing cutting-edge induced pluripotent stem cell (iPSC) models that better
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on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has experience with modern