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beyond. More specifically, you should demonstrate: Doctoral researchers: Solid background in one of the following: computational social science, ubiquitous computing, data science, or human-computer
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research is understanding how viruses and bacteria interact with and subvert their human hosts to replicate and transmit, and how infection- and vaccine-induced immunity protects us in the face of new and
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multidisciplinary team of clinicians, scientists, nurses and support staff, delivering a programme of research relating to traumatic injury, haemostatic resuscitation and optimisation of patient outcomes. The Centre
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
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We are seeking to appoint a Postdoctoral Researcher to join a new collaboration between Associate Professor Katherine Bull’s renal pathology group and GlaxoSmithKline, within the Oxford-GSK
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, molecular diagnostics and novel treatments of lung diseases. The Centre offers a vibrant, inclusive, collaborative, and interactive environment. The postholder will interact with clinicians based at the Royal
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human