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carry out the doctoral thesis for the 26/27 academic year. Adoptive cell therapyagainst cancer is a type of immunotherapy that is based on the use of agents that enhance the immune cells of the patients
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) and an agent-based reinforcement learning system can developed to identify and optimise safe journeys to reach affected forest plantations. The specific research objectives will be co-developed with
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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at adapting our blood-brain barrier model to predict the brain permeability of extracellular vesicles and therapeutic agents. It by the use of cell culture, automation, high content imaging, TEER and
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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studentship. Please apply via the King's Apply website (https://apply.kcl.ac.uk ) to the School of Cancer and Pharmaceutical Science (PhD). DO NOT CLICK ON THE APPLY BUTTON BELOW TO SUBMIT AN APPLICATION Follow
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studentship. Please apply via the King's Apply website (https://apply.kcl.ac.uk ) to the School of Cancer and Pharmaceutical Science (PhD). DO NOT CLICK ON THE APPLY BUTTON BELOW TO SUBMIT AN APPLICATION Follow