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changes that occur as a result of the process must be fully understood. This is particularly important for the highest performance alloys used in large civil engines, which encounter demanding service
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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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For queries regarding the application process, please contact the Biochemistry HR Team via: personnel@bioc.cam.ac.uk Please quote reference PH48291 on your application and in any correspondence about this
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role, please click on the apply button above. For informal enquiries, please contact Professor Florian Hollfelder via fh111@cam.ac.uk . For queries regarding the application process, please contact
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through a combination of experimental work, that exploits the latest digital measurement tools and state-of-the-art equipment in the Cambridge Civil Engineering laboratories, and multi-physics modelling
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groups currently underrepresented in Engineering and Physical Science subjects. Amongst UK-domiciled students, this includes women, Black British, British Bangladeshi and British Pakistani applicants
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also throughout the development phase, which involves transforming a molecule into a medicine and addressing various chemistry, manufacturing, and control (CMC) challenges. A key aspect of this process
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combines hands-on training, cohort-based learning, and cutting-edge research, preparing graduates for careers in academia, industry, startups, and beyond. We welcome applicants from the Physical Sciences
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, and simulations across physics, chemistry, and engineering. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Chemistry. Fixed-term: The funds
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degree (or overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics, Engineering) or Archaeology where candidates have strong evidence of skills in experimental analysis