197 density-functional-theory-molecular-dynamics Postdoctoral positions at University of Oxford
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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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research group has shown, by contrast, that the dynamics of antigenically diverse pathogens is driven by naturally acquired immunity against epitopes of limited variability (ELV), thereby opening up
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
The role Reporting to the Principal Investigator, Dr. Jesús Aguirre Gutiérrez, the post holder is a member of the research group BioEO: Biodiversity and Earth Observation within the Environmental
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the first instance Hours: Full Time (37.5 hours per week) PLEASE NOTE THAT THE CLOSING DATE FOR THIS VACANCY HAS BEEN EXTENDED AND WILL NOW CLOSE ON MONDAY 19TH MAY 2025. About the role We’re seeking
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We are currently seeking a Postdoctoral Research Associate to join our dynamic group at the Department of Biology. The Verd lab is interested in the diversity of biological form, how it is generated
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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in a highly experimental laboratory is what we value in our colleagues. This is a 1-year fixed-term post in the first instance, with possibility of renewal. You will be working as part of a team to
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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We are seeking to appoint a full-time Postdoctoral Researcher in Robotics to work within The Podium Institute for Sports Medicine and Technology at the University of Oxford. The Podium Institute
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral