Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; Newcastle University
- University of Nottingham
- Newcastle University
- ; Swansea University
- ; The University of Manchester
- ;
- ; University of Exeter
- ; University of Nottingham
- AALTO UNIVERSITY
- Cranfield University
- KINGS COLLEGE LONDON
- ; City St George’s, University of London
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Cambridge
- ; Imperial College London
- ; Lancaster University
- ; University of Birmingham
- ; University of East London
- ; University of Leeds
- ; University of Southampton
- Abertay University
- Coventry University Group
- Durham University
- The University of Manchester
- UCL
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Greenwich
- University of Newcastle
- University of Sheffield
- University of Sheffield;
- University of Warwick
- 25 more »
- « less
-
Field
-
project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
-
, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
-
study: search for the ‘Course Title’ using the programme code: 8020F select ‘PhD Biology (full-time)' as the programme of study You will then need to provide the following information in ‘Further Details
-
Portal: applyto.newcastle.ac.uk In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8440F’ in ‘Course Title’, blank in
-
codes for analysis; coordinate with the PI and Lab Manager; participate in regular group meetings and other group activities. Fixed term: The position is available with a flexible starting date. The funds
-
Deployment The PhD programme offers: Training in the theory for solar energy technologies, experimental measurement and evaluation techniques, tools for modelling and predicting PV generation. Opportunities
-
an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
-
of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8440F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Translational and Clinical Research (FT)’, and save
-
for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following
-
methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication