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new data will be linked with information from samples previously collected during pregnancy, there will also be opportunities to be involved with analysis of multi-omic data to study mechanisms
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these will not be considered as part of your application. For further details including the job description and selection criteria, please click on the link below. Interviews are scheduled to take place
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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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inclusion. The hours may be worked flexibly to complement caring responsibilities and applications are welcomed from part-time workers seeking a job share position - please state preferred hours and working
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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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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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hematopoiesis research. Experience generating genomics data from leukaemia samples with the ability to manage your own academic research and associated activities are essential. The post is available fixed-term
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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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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
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely