Sort by
Refine Your Search
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- Durham University
- Queen Mary University of London
- University of Oxford;
- AALTO UNIVERSITY
- King's College London
- Heriot Watt University
- Queen Mary University of London;
- University of Liverpool
- University of London
- Imperial College London
- University of Dundee;
- University of Reading;
- 4 more »
- « less
-
Field
-
data advantageous Excellent programming skills in STATA, R, or Python. Excellent track record in terms of international publications in peer-relevant media Willingness to acquire third-party funding
-
or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal
-
apply new analytical concepts. (E) Advanced computer skills, including R or Python programming. (E) The above list is not exhaustive. Applicants should review the full job description and criteria
-
, including data analysis using Python, R, or similar software. Proven research competence and initiative through international publications in peer-reviewed journals. Excellent spoken and written English
-
in Python, MATLAB, and C++/Java. He/she should have good oral communication and academic writing skills. Relevant publication records would be advantageous. Applications from those who require a visa
-
/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
-
quantum optics, quantum control, and in the development of control systems for quantum optics experiments based on FPGAs) You have experience with Python, LaTeX and MATLAB, Hadrware description languages
-
of laser optics, including Gaussian beam optics, accousto and electro-optics. Experience with Rydberg systems. Experience automating control of experiments, such as with LabView and/or python software
-
, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
-
. Experimental experience of laser frequency stabilisation techniques. 15. Experience with ultracold atom experiments. 16. Knowledge of electronics. 17. Knowledge of Labview and/or Python software.