14 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at University of Cambridge
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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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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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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., Posner, D.A., Lee, C.Y.C. et al. Childhood brain tumors instruct cranial hematopoiesis and immunotolerance. Nat Genet 58, 317-328 (2026). https://doi.org/10.1038/s41588-025-02499-2 Fitzpatrick Z, Ghabdan
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. Where to apply Website https://www.cam.ac.uk/jobs/research-assistantmsca-doctoral-network-phd-students… Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications
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We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab at the School of Psychological Sciences at Birkbeck, University of London. This post is attached to a recent grant awarded to Dr Yon from the Leverhulme Trust entitled Public Communication and Private...
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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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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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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in