Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- King's College London
- University of Oxford;
- Durham University
- UNIVERSITY OF VIENNA
- ;
- The University of Edinburgh;
- University of Cambridge;
- jobs.ac.uk
- Aston University
- Atlantic Technological University;
- Heriot Watt University
- King's College London;
- Northumbria University;
- Technical University of Denmark
- University of Dundee;
- University of Exeter
- University of Exeter;
- University of Glasgow
- University of Leicester
- University of Leicester;
- University of Liverpool
- University of London
- University of Reading
- University of Sheffield
- University of York;
- 18 more »
- « less
-
Field
-
the discipline and of research methods and techniques to work within established research programmes. Applicants will have coding skills in Python, PIP, JSON and HTML and will be experienced in using MongoDB
-
dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and proficiency in Python are essential for success in this role. You will
-
quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines
-
programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell
-
proficiency in Python are essential for success in this role. You will possess excellent communication skills, including the ability to write clearly for publication, present your research effectively
-
science, input–output analysis, applied economic modelling, ecological and environmental assessment, or GIS. You should also be skilled in data handling and programming, and your ability to write and
-
economic modelling, ecological and environmental assessment, or GIS. You should also be skilled in data handling and programming, and your ability to write and communicate clearly enables you to engage
-
. Proficiency in Python and/or machine learning applications for data analysis. Ability to work independently and manage multiple research activities. Experience contributing to academic publications and
-
in the annotated and non-annotated genome space. Writing optimised R- or python-based scripts and train group members on using these to analyse their own datasets optimally. Writing scientific papers
-
virtual reality and/or augmented reality technologies. Programming skills (e.g., MATLAB, Python, R). Experience preparing outputs to peer-reviewed publication standards. Experience delivering presentations