Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- UNIVERSITY OF VIENNA
- University of Oxford;
- Durham University
- Heriot Watt University
- Imperial College London
- University of Cambridge
- AALTO UNIVERSITY
- King's College London;
- University of Exeter
- Birmingham City University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Imperial College London;
- Liverpool School of Tropical Medicine;
- Nature Careers
- Northumbria University;
- Oxford Brookes University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Bradford;
- University of Cambridge;
- University of Exeter;
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 22 more »
- « less
-
Field
-
for the study of the history of the world. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative
-
related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
-
to analyse datasets 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
-
of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
-
amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
-
challenges of our time, with rising ideological divides and fragmented information ecosystems coinciding with increasing stress, anxiety, and declining well-being. Polarizing online content not only fuels
-
of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Department The Department of Physics at Durham University is one of the leading
-
to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
-
defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
-
, spanning over 400 boxes, 100 volumes, and a large historical book collection, holds critical documents related to its colonial and financial history. A significant portion will return from the University