Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Newcastle
- Durham University
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Oxford
- University of Sheffield
- AALTO UNIVERSITY
- Queen's University Belfast
- Birmingham City University
- Cardiff University
- King's College London
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Cambridge
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF VIENNA
- University of Hull
- University of Liverpool
- University of London
- University of Manchester
- University of Stirling
- 20 more »
- « less
-
Field
-
-relevant work in AI or a related field. Effective communication of complex scientific ideas to a non-technical audience. Application should include: A short CV. A summary, in one page or less, of your
-
to writing of journal articles and conference presentations Operate within area of specialism and collaborate with a wider interdisciplinary research team Participate in wider networks, including the Adult
-
to CA100+, an investor-led initiative to ensure the world’s largest corporate greenhouse gas emitters take necessary action on climate change. The CA100+ Net Zero Company Benchmark aims to drive corporate
-
conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
-
accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer, and there is emerging understand that they bury globally significant amounts
-
and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
-
is integrated within the project “Simulation of complex organics in astrophysical environments using machine learning (SpaceML)”, funded by the Research Council of Finland and supervised by Academy
-
(including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance
-
models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
-
science and artificial intelligence concepts and tools to solve complex problems. Candidates will also be developing machine learning techniques and applying them at scale to specific projects with regular