149 phd-rehabilitation-engineering-computer-science positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
The Faculty of Medicine School of Clinical and Experimental Sciences, supported by Hampshire and Isle of Wight Healthcare NHS Foundation Trust (HIOWH), wishes to appoint an Associate Professor
-
Are you a tech-savvy problem solver who genuinely enjoys helping others? If you're passionate about technology and love using it to make a difference, this could be the perfect role for you. Join
-
Are you a tech-savvy problem solver who genuinely enjoys helping others? If you're passionate about technology and love using it to make a difference, this could be the perfect role for you. Join
-
extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
-
tomography), engineering design, and computer-aided engineering tools (design and simulation) are desirable, as is a teaching qualification or membership of the Higher Education Academy. What we can offer you
-
will have a postgraduate degree in a Quantitative Social Science or equivalent professional qualifications and experience and a good knowledge and understanding of Survey Methodology. You will also have
-
capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and
-
, hold Athena Swan Silver Awards, demonstrating their commitment to provide equal opportunities and to advance the representation of women in STEM/M subjects: science, technology, engineering, mathematics
-
, University of Southampton. You will have a relevant PhD, Master degree or equivalent research-related qualifications in a health/ public health/ epidemiology/ healthcare or social science related subject, and
-
to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student