Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
through the Department of Engineering Science and is open to Home students (full award – home fees plus stipend). Award Value Course fees are covered at the level set for Home students. The stipend (tax
-
be embedded throughout.� PERSON SPECIFICATION� Reliable and enthusiastic team member willing to contribute to shared data collection in a collaborative environment. Prior experience in fieldwork
-
the University of Oxford. The studentship will cover course fees at the Home rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 3.5 years in
-
-income countries. The Research Assistants will work directly with Prof. Zachary Parolin. This a good opportunity for a PhD/DPhil student to gain more experience in research and contribute to publications
-
within a leading international research environment. About You To be considered for this position you should; • Hold a relevant PhD (or close to completion) or MSc level in a relevant discipline (e.g
-
development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. This position is offered full-time on a fixed-term contract initially until 29 July 2030 with
-
. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
-
mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
-
, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
-
the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative