28 post-doc-machine-learning Postdoctoral research jobs at University of London in Uk
-
: 23.59 hours BST on Saturday 20 September 2025 Interview Date: Friday 26 September 2025 Reference: CBS-0112-25-A We are looking for a skilled and motivated Post Doctoral Research Associate to join the
-
: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
-
: 23.59 hours BST on Sunday 08 June 2025 Interview Date: Friday 27 June 2025 Reference: CBS-0112-25 We are looking for a skilled and motivated Post Doctoral Research Associate to join the Structure and
-
Mathematics), the post holder will interact with researchers in statistics and machine learning at Royal Holloway, the Biophotonics Group at the University of Nottingham, clinicians at the Nottingham Breast
-
About the Role Applications are invited for a Barts Charity-funded Postdoctoral Research Associate post to join the laboratory of Doctor Mathieu-Benoit Voisin within the Centre for Microvascular
-
research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
-
the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
-
interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
-
View All Vacancies Department of Drama, Theatre and Dance Location Egham Salary £40,839 to £48,003 per annum pro rata - including London Allowance Post Type Part Time Hours per Week 10.5 Weeks per
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our