Sort by
Refine Your Search
-
Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
-
of solid state hydrogen storage materials analysing and presenting data and presenting complex information effectively to a range of audiences collaborating in a diverse team the development of facilities in
-
intramuscular EMG, fMRI and MRS. Contributing to advanced signal and imaging analysis (HD-EMG/EEG, (f)MRI, MR Spectroscopy Supporting data analysis, manuscript preparation, and presentation of findings. You will
-
geography, rural sociology, anthropology, or political science; excellent oral and written communication skills, including the ability to communicate with clarity on complex information; clear evidence of
-
Intervention in Psychosis service (Nottinghamshire Healthcare NHS Foundation Trust) to facilitate patient recruitment (up to 20% of your time). Analyse data, prepare publications, and present findings
-
(e.g. spectroscopy or biophotonics) for medical diagnostics, a strong publication record, interdisciplinary collaboration, and data analysis expertise—particularly in diagnostic test accuracy. Prior
-
develop appropriate frameworks for the practical assessment and management of unowned domestic cat welfare. This will involve information synthesis and framework co-creation with cat care stakeholders
-
About the role - The role-holder will be proficient at quantitative analyses and be support the wider inter-disciplinary research team in analysing quantitative data captured from a variety of
-
term contract until 12th October 2028. For more information on our lab activities please contact zoe.wilson@nottingham.ac.uk or Erik.Murchie@nottingham.ac.uk . If you are interested about this position
-
exciting opportunity to work on a project that is a priority area for them. The successful applicant will be leveraging their data science expertise to work on a complex large linked primary care dataset