Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- King's College London
- KINGS COLLEGE LONDON
- University of Nottingham
- The University of Southampton
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of London
- University of Sheffield
- ; Technical University of Denmark
- ; University of Exeter
- Birmingham City University
- CRANFIELD UNIVERSITY
- Imperial College London
- Kingston University
- Manchester Metropolitan University
- Queen's University Belfast
- RMIT UNIVERSITY
- University College London
- University of Bristol
- University of Exeter
- University of Glasgow
- University of Stirling
- 16 more »
- « less
-
Field
-
. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
-
, field experiments) and programming tools (Python, z-Tree, oTree, Gorilla) for running and designing behavioural experiments. They will be willing to engage regularly with stakeholders and develop strong
-
-Guided Machine Learning. Essential Interview / Application / Test Strong software development skills (for example, in Python, MATLAB, C++, usage of HPC facilities) Essential Interview / Application / Test
-
mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar
-
ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
-
, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
-
, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
-
manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
-
(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work
-
especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs Proven ability to write code in Python Experience working in a research team