71 gis-python "NTNU Norwegian University of Science and Technology" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- University of Newcastle
- ; Swansea University
- The University of Manchester
- ; The University of Manchester
- ; University of Nottingham
- ; University of Sheffield
- AALTO UNIVERSITY
- Cranfield University
- KINGS COLLEGE LONDON
- The University of Edinburgh
- ; Coventry University Group
- ; Durham University
- ; University of Birmingham
- ; University of Cambridge
- ; University of East London
- ; University of Exeter
- ; University of Oxford
- ; University of Southampton
- ; University of Stirling
- Abertay University
- Imperial College London
- Newcastle University
- Oxford Brookes University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of Cambridge
- University of Liverpool
- University of Oxford
- 24 more »
- « less
-
Field
-
training in field work techniques, ecological modelling and GIS will be provided by an interdisciplinary supervisor team. Funding duration – 4 years Funding Comment This scholarship covers the full cost
-
programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
-
an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
-
MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
-
area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
-
area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing research papers and policy reports. Participate in meetings with collaborators and
-
or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
-
assistantship. The ideal candidate will have a strong understanding of NLP, machine learning, and AI ethics, with proven skills in Python and frameworks like TensorFlow or PyTorch. Preference may be given