Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
functionalities and tasks. The ideal candidate will be a creative and methodical engineer with experience on and expertise in, user interface development for data-driven applications and an interest in robotics, AI
-
methods that integrate multiple spatial omics layers with histology and clinical data to predict the spatial organisation of the tumour microenvironment in brain tumours. This position offers an exciting
-
, analyse qualitative data, and help prepare summary reports and manuscripts for peer review publications. You will need to hold a PhD that includes training in qualitative research methods. You will have
-
the award of two fully funded PhD scholarships for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed
-
– from rodents to humans. Please see job description for further details on the project. The candidate must have a PhD in Cognitive/Computational Neuroscience, Experimental Psychology, Human-Computer
-
-quality journals; substantially contribute to teaching and assessment; provide academic and operational leadership; and help deliver the strategic goals of the Division. Applicants should have a PhD or
-
Scholarship website for details. Specified use Funded by the UK Department for Education (DfE), Commonwealth PhD Scholarships for high-income countries support research that will have impact in a field relating
-
as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
-
the award of fully funded PhD scholarship for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed heritage
-
a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in