17 programming-"Multiple"-"Duke-University"-"U"-"U.S"-"O" Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
-
in the job description. They will manage their own academic research and administrative responsibilities, including small-scale project management to coordinate multiple aspects of work and meet
-
. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
-
to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
-
or mechatronic design and analysis • Ability to work as part of an extended team in multiple disciplines and locations • Ability to identify research objectives and subsequently conceive, plan and
-
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
-
Postdoctoral Researcher. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
-
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
-
that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
-
focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest