18 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Cambridge
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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PhD Position - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A doctoral position is available
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Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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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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in vivo disease models. The project will form part of a EC Marie Sklodowska-Curie Doctoral Training Network (LowDataML), which involves academic and industrial teams across Europe. Although based in
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. The research will probe beneath surfaces to detect impurities and internal features, while also exploring new methods for embedding invisible authenticity markers. Finally, advanced data tools and neural network
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between HDR and SDR worlds, ensuring consistent colour and contrast perception across luminance levels. Building on cutting-edge psychophysical models, this research promises to reshape how we see, capture
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building blocks to elicit properties far beyond simple averaging over the component materials involved, instead giving exciting opportunities for new functionalities that are not found in natural materials