Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- Imperial College London
- University of Birmingham
- Nature Careers
- AALTO UNIVERSITY
- King's College London
- University of Cambridge
- University of London
- UNIVERSITY OF SOUTHAMPTON
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF VIENNA
- University of Nottingham
- Queen's University Belfast
- University of Glasgow
- University of Manchester
- CRANFIELD UNIVERSITY
- Durham University
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- University of Liverpool
- University of Newcastle
- University of Sheffield
- ; University of Oxford
- Birmingham City University
- City University London
- Manchester Metropolitan University
- Medical Research Council
- Nottingham Trent University
- Royal College of Art
- THE HONG KONG POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Bristol
- University of Cambridge;
- University of Leeds
- University of Lincoln
- University of Reading
- University of Surrey
- University of West London
- 33 more »
- « less
-
Field
-
lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin axon development. This project aims to establish a high
-
machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious and
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
, challenging project. Learning on the job isn't just a benefit – it's a must. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in a relevant area of Engineering
-
machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious and
-
/2025 Role Description An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis
-
Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites