Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of London
- University of Cambridge
- Durham University
- AALTO UNIVERSITY
- King's College London
- DURHAM UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Birmingham
- ; University of Oxford
- Nature Careers
- ; Technical University of Denmark
- ; University of Copenhagen
- Imperial College London
- Medical Research Council
- Swansea University
- University of Manchester
- ; Royal Holloway, University of London
- ; University of Cambridge
- ; University of Dundee
- ; University of Exeter
- Aston University
- Birmingham City University
- Heriot-Watt University;
- Manchester Metropolitan University
- Royal College of Art
- Sheffield Hallam University
- The Royal Veterinary College, University of London;
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Newcastle
- University of Oxford;
- University of Reading
- University of West London
- 30 more »
- « less
-
Field
-
the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems involving different decarbonisation technologies, as well as the development of AI-driven decision
-
with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
-
, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods
-
modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
-
specialised standard operating procedures. Additionally, candidates should possess expertise in host-pathogen interactions, supported by relevant experimental approaches, models, and analytical techniques
-
Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
-
Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
-
About the Role We have been funded by Alzheimer’s Society led by Prof Nathan Davies to evaluate hospital at home services/care models for people living with dementia. The role will lead the study
-
infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently. Provide good role models of best open science practices. As
-
responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling