159 phd-software-testing-scholarship Postdoctoral positions at University of Oxford in Uk
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responsibilities include testing hypotheses and analysing scientific data from a variety of sources, including sequencing and transcriptomics (including spatial transcriptomics), reviewing and refining working
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will be educated to PhD level with relevant experience in molecular plant biology and evolution and will work closely with other group members to assist them with gene functional characterisation
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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hold or be close to completion of a relevant PhD/DPhil, together with experience of research on Tibetan History; experience and skills in the translation of classical Tibetan, as used in administrative
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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experimentally investigated. About you You should possess a PhD or DPhil (or be near completion of) in the field of engineering, physics or applied mathematics together with relevant experience in the field
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You