Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- Cranfield University
- ; The University of Manchester
- ; University of Reading
- University of Newcastle
- ; Swansea University
- ; University of Nottingham
- ; University of Sheffield
- ; University of Warwick
- ; Coventry University Group
- ; Oxford Brookes University
- ; University of Birmingham
- ; University of Bristol
- ; University of Cambridge
- ; University of East London
- ; University of Exeter
- ; University of Oxford
- ; University of Stirling
- AALTO UNIVERSITY
- Abertay University
- Imperial College London
- Newcastle University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Liverpool
- University of Oxford
- 20 more »
- « less
-
Field
-
field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
-
of the position. Equivalent research experience will also be considered. You should have familiarity in handling large and complex datasets and skilled in programming languages such as R or Python. The ideal
-
/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
-
. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
-
, training, and collaboration Preferably a strong background in aircraft design and propulsion systems Preferably Proficient in programming (MATLAB preferred; Python is also acceptable) Prior experience with
-
Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
-
monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
-
tools like FEniCS and Python. Additionally, working on a high-impact, interdisciplinary project will strengthen problem-solving, critical thinking, and project management skills. The collaboration with
-
and computational abilities • Demonstrate excellent programming ability in languages such as MATLAB or Python • Excellent communication skills across multiple disciplines • Excellent academic
-
programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be