Sort by
Refine Your Search
-
Category
-
Employer
- ;
- ; Swansea University
- University of Nottingham
- University of Sheffield
- ; The University of Edinburgh
- Cranfield University
- University of Cambridge
- University of Newcastle
- University of Oxford
- ; Cranfield University
- ; The University of Manchester
- ; University of Birmingham
- ; University of East Anglia
- ; University of Nottingham
- ; University of Oxford
- ; University of Stirling
- Harper Adams University
- Oxford Brookes University
- Swansea University
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Liverpool
- University of Manchester
- 13 more »
- « less
-
Field
-
experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
-
an email to hello@fusion-engineering-cdt.ac.uk . References: J. A. Teprovich, H. R. Colon Mercado, L. Olson, P. Ganesan, D. Babineau, and B. L. Garcia-Diaz, “Electrochemical extraction of hydrogen isotopes
-
delivers high-impact teaching, research, and industrial collaborations. The project sponsor Dynex Semiconductor is a leading international high power semiconductor business, and has a manufacturing and R&D
-
into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
-
also undertake industrial placement and mentorship at BTS, where they will interact with practitioners, gain insights into commercial R&D, and participate in government and industry working groups
-
. 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
-
analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
-
dissemination skills. These capabilities are directly transferable to careers in cybersecurity R&D, secure hardware design, defence electronics, and post-quantum technology innovation, where demand for secure and
-
communication, and collaborative problem-solving capabilities, which are essential for success in innovation-driven environments. This training prepares graduates for impactful roles in semiconductor R&D
-
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