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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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and function in a collection of maize germplasm exhibiting diverse levels of yield stability under drought stress. The high-level objective of the research is to characterize the processes of water
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human trophectoderm development. The aim of this project is to test the functional requirement for signalling pathways in trophectoderm development. We have recently identified a number of candidate
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Contract type Fixed-term Job category Research Hours Full-time Salary min £42,882 Salary max £42,882 Publication date 17-Jun-2025 Closing date 22-Jun-2025 The Signal Processing Engineer will be placed within
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the processes of water movement through the soil-root-stem-leaf-atmosphere system and reveal those traits at each point in the system that contribute to enhanced yield stability in maize. The successful candidate
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Travel ” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in
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London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced
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by Professor Tim Tree, at King's College London. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them
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nanocomposites ¿ Manufacture prototypes using the new materials and evaluate their performance ¿ Investigate science underlying the material functions and processes ¿ Work with internal and
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can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process