Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Durham University
- University of Oxford
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Cambridge
- ; University of Cambridge
- Aston University
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Heriot-Watt University;
- Imperial College London
- Manchester Metropolitan University
- Nature Careers
- Northumbria University;
- Oxford Brookes University
- Royal College of Art
- Swansea University
- Technical University of Denmark
- University of Exeter
- University of Leicester
- University of Sheffield
- 17 more »
- « less
-
Field
-
this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
-
testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
-
solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
-
in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
-
.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C
-
funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
-
typologies, supporting case study selection for fieldwork. Collaborate with healthcare partners, architects, and computational specialists to ensure robust interdisciplinary methodologies. Co-author high
-
for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author