Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- Nature Careers
- UNIVERSITY OF SURREY
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- UCL;
- University of Glasgow
- City University London
- Queen's University Belfast;
- The University of Southampton
- University of Manchester
- University of Nottingham
- University of Surrey
- ; University of Exeter
- EMBL-EBI - European Bioinformatics Institute
- Edinburgh Napier University;
- King's College London
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- Plymouth University
- Queen's University Belfast
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- University of Bath
- University of Bath;
- University of Birmingham;
- University of Brighton
- University of Exeter;
- University of Leeds;
- University of London
- University of Plymouth;
- University of Stirling
- University of Stirling;
- University of Surrey;
- University of Sussex;
- University of the West of England
- 29 more »
- « less
-
Field
-
large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
-
related to circular manufacturing Strong IT and programming skills (e.g., Python, Visual Studio, cloud-based applications). Knowledge of manufacturing processes, technologies, and operations, or familiarity
-
systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
-
), chemistry, statistics, biochemistry or a related discipline Have expertise in programming and quantitative data analysis, including machine learning in a software such as R/Python Have a developing ability to
-
systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
-
. Familiarity in using ABAQUS user materials (UMATs) and in programming (Python, Fortran and Matlab) would be an advantage. Excellent communication, time management, and team working skills is essential
-
experience in in vivo large-scale two-photon calcium imaging Programming skills, Matlab, (and/or Python) Ability to communicate complex information clearly, orally and in writing Experience in
-
or Python. How to apply Candidates should apply online, carefully answer all the application form questions, and attach a curriculum vitae (with details on education, research experiences, successes and the
-
; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
-
track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open