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, release kinetics under biologically relevant triggers. The successful candidate will work at the interface of organic synthesis, chemical biology, and machine learning to guide linker design and optimise
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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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. CoET aspires to prepare students for life-long learning and careers in engineering for engineering students, and in technology for technology students; with emphasis on leadership skills and creative
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of financial systems, blockchain-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support
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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
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committed to an equality charter (see https://www.hw.ac.uk/about/our-schools/mathematical-and-computer-sciences/about-us/our-equality-charter ), which includes having a diverse and inclusive workforce, and
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and teaching portfolio in AI, with a focus in data science, machine learning, image analysis, natural language processing (NLP), Large Language Models (LLMs) or generative AI. You will contribute
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of Mental Health & Psychological Sciences, and our NHS and industry partners. We particularly welcome candidates whose expertise complements existing departmental strengths in machine learning, multimodal
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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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, including machine learning, for process optimisation; Support training and knowledge sharing on Coretech automated chemistry systems; Contribute to scientific documentation, including reports, papers, and