157 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
for a project on histone variants in hyperthermophile archaea. The Warnecke lab study the evolution of chromatin from a comparative perspective, with a particular focus on less-studied organisms such as
-
Career Development Research Fellows The Uehiro Oxford Institute invites application for 2 Career Development Research Fellows, to support teaching of the MSt course, as well as undertaking research
-
development. About You You will hold a medical degree (MBBS or equivalent) and GMC registration, along with clinical experience in a relevant clinical setting including experimental medicine study experience
-
to environmental, nutritional, and economic analyses, support the development of new modelling approaches and datasets, and collaborate on high-impact research outputs and publications. You must hold a PhD/DPhil in
-
spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
-
The Medical Sciences Division is seeking to appoint to the post of Researcher Development and Training Manager. This senior post has wide-ranging responsibility for the University of Oxford Medical
-
) Further information can be found at http://www.eng.ox.ac.uk/jobs/home Only online applications received before midday on 8 May 2026 can be considered. You will be required to upload a covering letter
-
the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
-
on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html ), which comprises 12 academic institutions across multiple European
-
the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human