Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- AALTO UNIVERSITY
- Nature Careers
- University of Cambridge
- ; University of Cambridge
- Aston University
- The University of Edinburgh;
- University of Exeter;
- University of Glasgow
- Aston University;
- Birmingham City University
- City University London
- DURHAM UNIVERSITY
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Northumbria University;
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge;
- University of Exeter
- University of Glasgow;
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford;
- University of Reading
- University of Sheffield
- University of West London
- 24 more »
- « less
-
Field
-
/international conferences and communicate complex information to specialists and within the wider academic community. 7. Experience in computational and theoretical chemistry, including at least one of the
-
Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
-
the candidate to interact with other UK-funded projects in the Amazonia+10 programme, sharing methods and, if possible, field work opportunities. The appointee will be based at and employed by the Museum, with
-
, qualitative and creative research methods, this research is deepening understanding about the complex psychosocial, cultural and familial processes that influence farm women’s health and well-being across
-
projects. Strong proficiency in the following areas, and the ability to integrate them into complex workflows: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point
-
their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future
-
United Kingdom Application Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
-
to a project at the interface of research, policy, and international collaboration. The PDRA will gain experience in managing a complex bilateral programme, authoring outputs with direct policy impact
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models