169 postdoc-density-functional-theory Postdoctoral research jobs at University of Oxford
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About the role An exciting opportunity has arisen to join the Department of Oncology as a Postdoc within the Cancer Prevention Vaccine team, part of the GO-Precise alliance (PRECancer Intervention
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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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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by the Schmidt Sciences Foundation, and also
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to work independently to solve experimental problems and contribute ideas for new research projects. You should also have sufficient specialist knowledge of biochemical and structural techniques. Excellent
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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damage and immunity responses. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental protocols. You will work
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics