Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- University of Cambridge
- AALTO UNIVERSITY
- Nature Careers
- University of Birmingham
- UNIVERSITY OF VIENNA
- ; University of Cambridge
- Aston University
- Imperial College London
- University of Glasgow
- Aarhus University
- Aston University;
- Birmingham City University
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London;
- Northumbria University;
- University of Exeter
- University of Glasgow;
- University of London
- University of Oxford;
- University of Reading
- University of West London
- 17 more »
- « less
-
Field
-
statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
-
statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
-
of this pathology. Platelet activation is a highly dynamic process underpinned by complex signalling events, culminating in thrombus formation. Our project will map key signalling events that govern platelet and
-
analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
-
for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology Programme. Working with Dr Kevin Gallacher and Professors Marc Sorel and Douglas Paul, the focus
-
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
-
Expertise in stratospheric dynamics and/or chemistry Enthusiasm for coding of complex atmospheric models Create problem-solving skills and ability to work independently *Candidates with a PhD in other
-
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
-
, 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
-
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