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Field
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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to research programs that are aiming to understand the role of the bone marrow microenvironment in the pathogenesis of blood cancers, and responses to immunotherapy. You will focus on developing and applying
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data communication (assessed at: application/interview) Ability to work under own initiative to agreed protocols and deadlines, and to plan and progress work activities (assessed at: application
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
related field. Strong quantitative and programming skills (e.g., R required). Experience in ecological modelling with different Artificial Intelligence methodologies, including but not limited to machine
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development