17 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Cambridge
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
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
-
Applications are invited for a 3.5-year PhD studentship starting in October 2026, under the supervision of Professor Erwin Reisner. The Reisner Laboratory develops innovations and technologies
-
), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
-
PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
-
) Zhongtian Sun (School of Computing, University of Kent) Aligned programme of study: PhD in Network Science Northeastern University London As part of a major investment, Northeastern University London (NU
-
PhD Position - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A doctoral position is available
-
responsibilities As a member of a larger team, the advertised PhD position is embedded within the ODYSSEIA programme, funded by an FWO ODYSSEUS Type I Grant, and supervised by Prof. Dr. Ann Brysbaert. As PhD
-
motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
-
include development activities and relevant work experience placements/internships. The award pays tuition fees up to the value of the full-time home UKRI rate for PhD degrees. The Research Councils UK
-
radiative balance, but the physical mechanisms governing their formation particularly in the near-field region immediately downstream of aircraft engines remain poorly characterised. This fully funded PhD