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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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qualitative social science research, such as literature reviews, surveys, interviews, thematic analyses, researching and writing up case studies, data presentation, etc. Candidates also proficient in
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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and/or quantitative data, collaborate in the writing of research publications and represent the research group at external meetings/seminars/workshops and focus groups. The ideal candidate will hold a
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition