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About the role Applications are invited for the position of Postdoctoral Research Associate in the Synthesis of Porphyrin Arrays & Molecular Compasses to work under the supervision of Professor
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statistical languages (e.g. R) for data analysis and visualisation. The position is full time (part time considered) and fixed term for 2 years. The closing date for applications is noon on 23 May 2025. You
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Trajectories (TTs). Furthermore, the Postdoctoral researcher will quantify how such forest changes affect the prevalence of diseases linked to environmental degradation, including vector-borne and zoonotic
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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mentoring junior researchers and collaborate with faculty, DPhil students, and postdocs across engineering, computer science, government, and law disciplines. The role is full time 2 years fixed term
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
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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
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application. For further details including the job description and selection criteria, please click on the link below. Interviews are scheduled to take place shortly after the closing date and you must be
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understand the links between maturational accounts of acquisition and the stability of morphosyntactic properties diachronically, with particular reference to French. Acquisitional data will be extracted from