Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Plymouth
- Manchester Metropolitan University;
- University of Cambridge
- University of Exeter
- University of Oxford
- University of Sheffield
- University of Warwick
- Imperial College London
- King's College London
- Manchester Metropolitan University
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Cambridge;
- University of Newcastle
- University of Surrey;
- Abertay University
- Brunel University
- City St George’s, University of London;
- Harper Adams University
- Imperial College London;
- London School of Economics and Political Science;
- Middlesex University;
- Newcastle University;
- Northeastern University London
- Oxford Brookes University;
- UCL
- UWE, Bristol
- University of East Anglia
- University of Essex;
- University of Hertfordshire
- University of Hertfordshire;
- University of Nottingham;
- University of Strathclyde
- University of Strathclyde;
- University of Surrey
- University of Sussex;
- 31 more »
- « less
-
Field
-
computing (e.g. Python, C/C++, Fortran, MATLAB). Ability to analyse and interpret complex datasets, with good scientific judgement and attention to detail. A motivated, collaborative researcher with strong
-
foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
-
analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
-
, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
-
with statistics or programming in R/python/MATLAB desirable. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is fully funded for 3 years. Funding includes
-
computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
-
physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
-
humans are immersed in the environment (VR/AR and/or mobile EEG). The ideal candidate will have: Extensive experience in programming in Python or Matlab and data analysis (essential, please note that
-
programming and data analysis (e.g. Python, Julia, MATLAB, C/C++, or similar) • Ability to work independently and as part of a collaborative research team Desirable skills / experience
-
geotechnics/soil mechanics. The following desirable skills are an advantage, but not a requirement. Data analysis skills in python An interest in energy policy / the economics of energy Numerical modelling