16 web-programmer-developer-"https:"-"https:" PhD positions at University of Birmingham
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join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and nanostructures and miniaturized diagnostic
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children’s development? • Through which mechanisms-of-change are different child outcomes supported in the short- and long-term? • What insights into child development can we draw from these findings? Possible
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan
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The PhD project aims to develop dynamic pressurisation techniques for real-time crystallography and spectroscopy studies of samples in a liquid environment. It will be used for in-house macroscopic
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facility where power-plant relevant plasma fluxes and heat loads can be applied to PFC components. You will address this issue by building upon existing Birmingham-Julich research programmes and using
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will support the £35m EPSRC Manufacturing Research Hub in Robotics, AI, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M2) which is developing new technologies
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- or part-time research programme. This includes current doctoral researchers in the College of Arts and Law. The funding will be available from September 2026. One scholarship is available offering
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laboratory analysis of polar ice core gases is highly desirable. The research will include system development and testing in the Ice Core Gas Lab at the British Antarctic Survey and an extended stay in
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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and interests. Possible research directions include constructing multiscale simulation workflows and applying them to materials design, and/or developing and implementing novel machine learning