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, neuroscience, or a related field, with a strong publication record. Experience in behavioural, electrophysiological methods and/or functional MRI in awake nonhuman primates is highly desirable. We are looking
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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to deliver high quality publications. You will be familiar with the theoretical traditions that have informed Professor Cowards publications as well as broader qualitative methods – especially in the areas
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programming skills and expertise with computational methods for neural/behavioural data analysis. You will have experience in conducting task-based functional neuroimaging and/or behavioural experiments, and
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to state-of-the-art facilities located within the thriving Department and will employ structural biology methods to address the group’s research questions. This is a full-time fixed term post funded by
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, materials and electrochemical testing methods and characterisations. Attend Faculty, Department and Programme meetings/boards as appropriate and proactively contribute to decision making. The project will
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strong track record of scientific publication and novel idea generation. You will have strong programming skills and expertise with computational methods for neural/behavioural data analysis. You will have
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, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods
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whether higher education serves to politicise today’s students, through a longitudinal, mixed methods study. The project is being conducted in collaboration with colleagues at Durham University and the
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). The project also includes the encapsulation active materials using ultrasonication methods for encapsulation of active materials for their use in targeted sustainable bioplastics. The post is available from 1