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temporal dynamics. The candidate will adapt and develop biophysical models to explore the impact of temporal exposure variability on radiobiological endpoints, with results validated against experimental
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images (e.g., pathology, MRI, CT, and RGB) and molecular profiles. Conduct hypothesis-driven research to link molecular profiles to disease biology. Focus on generating and validating diagnostic tools
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on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied to understand these dynamics. This project proposes a novel pipeline of ideas
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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, and (iv) Next-generation positioning, navigation, and timing. The selected candidate will also support research proposal development, dissemination, and student mentoring efforts within a dynamic
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the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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, Physiology and Neuroscience (PPN) in the School of Life Sciences at the University of Nottingham. The role will explore the molecular pharmacology of receptor tyrosine kinases (RTKs), focusing on how
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activity, persistence, and safety of CAR-T cell candidates. Molecular and Cellular Biology: Employ a variety of techniques such as multicolor flow cytometry, PCR, qPCR, Western blotting, and viral and non
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations