Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- ; City St George’s, University of London
- University of East Anglia;
- Cranfield University
- The University of Edinburgh
- University of East Anglia
- University of Oxford
- ;
- ; Swansea University
- ; The University of Edinburgh
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Newcastle
- ; Coventry University Group
- ; University of Cambridge
- ; University of East London
- Bangor University;
- Brunel University London
- Imperial College London
- Oxford Brookes University
- The University of Manchester
- UNIVERSITY OF EAST LONDON
- University of Birmingham;
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Exeter;
- University of Glasgow
- University of Oxford;
- University of Sheffield
- University of Warwick
- 25 more »
- « less
-
Field
-
(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
-
or Python. Working with the workstream Co-leads and wider research team, they will contribute to analyses, publications, reports and dissemination, as well as undertake administrative tasks and present
-
intelligence, NLP, machine learning, or a related field Experience with Python and Generative AI libraries (e.g., Huggingface Transformers) Knowledge of Multimodal Generative AI models and their corresponding
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
-
Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
-
on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
-
NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
-
, visualisation and interpretation using coding (Python or Matlab) and learn to use a 1-dimensional ocean biogeochemical model. You will collaborate with the dynamic Rothera and POLOMINTS (http://polomints.ac.uk
-
. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
-
strong interest in evolution and genomics, and a basic understanding of R or Python. Entry Requirements: At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science