Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- The University of Manchester
- University of Newcastle
- ; Swansea University
- ; The University of Manchester
- ; University of Nottingham
- ; University of Sheffield
- AALTO UNIVERSITY
- Cranfield University
- KINGS COLLEGE LONDON
- The University of Edinburgh
- ; Coventry University Group
- ; University of Cambridge
- ; University of East London
- ; University of Exeter
- ; University of Oxford
- ; University of Stirling
- Abertay University
- Imperial College London
- Newcastle University
- Oxford Brookes University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of Cambridge
- University of Liverpool
- University of Oxford
- 21 more »
- « less
-
Field
-
in working in public health or epidemiology or similar is desirable. Knowledge and evidenced experience of data science analytical packages and R or Python would be advantageous. Funding The funding
-
laboratory-based skills Programming skills (Matlab, Python, or similar) Applicants with a good 2.1 degree are also encouraged to apply if they can demonstrate excellent laboratory skills through previous
-
degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
-
of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject (physics
-
understanding of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject
-
: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
-
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
-
but not mandatory). A strong interest in materials simulation, quantum materials, and condensed matter physics. Experience with Python. Fluency in English is required. Finnish language is not required