Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
understand. You will have a proven ability to manage a complex workload and deliver on multiple projects in parallel. About the School/Department/Institute/Project The Academic Centre for Healthy Ageing (ACHA
-
and clinical practice. About You Applicants should have a PhD (or be close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area. Experience conducting
-
About the Role The Centre for Doctoral Training in Next Generation Organ Chip Technologies (CoaCT) is an EPSRC funded project to support the training of 4 cohorts of PhD students. We are looking
-
of this project, in Turin, Naples and London. About You The successful candidate will have a PhD degree or having successfully passed their PhD viva (with corrections is acceptable) and a strong background in
-
degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
-
degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
-
PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
-
of the research project and develop new areas of research. The post-holder will be expected to undertake a higher degree such as a PhD during the fellowship. About You The applicant must be a medically qualified
-
September 2025. About You You will have recently completed a PhD in Development Geography, or a related field, and have some relevant teaching experience in a university context. You will also have experience
-
to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied