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of objects (”curved”, ”pink”, ”having eyes”, “being animate”, ”having agency”, or ones that are hard to name) that are crucial for our everyday functioning. This research is only possible now thanks to 1
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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