Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; University of Reading
- ; University of Warwick
- University of Newcastle
- ; The University of Manchester
- ; University of Surrey
- University of Cambridge
- ; University of Exeter
- Cranfield University
- ; University of Birmingham
- ; University of Oxford
- University of Oxford
- ; Aston University
- ; City St George’s, University of London
- ; Durham University
- ; Loughborough University
- ; Swansea University
- ; UCL
- ; University of Bath
- ; University of Leeds
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- ; University of Stirling
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Sheffield
- 18 more »
- « less
-
Field
-
into longitudinal studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). They must also have experience of conducting research with human participants and of performing highly
-
analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
-
experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic
-
deep learning, generative models, or biomedical imaging/omics data Strong programming skills (Python, PyTorch, etc.) A commitment to interdisciplinary collaboration and impactful research How to Apply
-
(essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable). Collaboration and
-
latitudes. Student profile: The project requires the student to be relatively proficient in Python programming to use and modify existing software, as well as for potentially developing new diagnostics and
-
placement locations. Advanced metaheuristic optimisation algorithms, implemented in Python and interfaced with DIgSILENT PowerFactory, will be developed to determine the most effective PST locations and
-
relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
-
and/or Geographical Information Systems (GIS), and be keen to learn new methods. The University of Birmingham is providing full funding for this project for a UK student. International students should
-
reports, publications, and follow-on funding proposals The Person • Experience with embedded systems (e.g., Raspberry Pi, ARM Cortex, microcontrollers) • Strong programming skills in Python, Verilog