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Travel ” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four departments in the School
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. We are still far from a complete understanding of how these processes work. CDN is one of four departments in the School of Neuroscience at the Institute of Psychiatry, Psychology & Neuroscience and is
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical
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well as qualitative approaches including semi-structured interviews with women, families, and clinicians. These interviews will inform the design process and deepen understanding of the everyday contexts and
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: jacqueline.broadhead@compas.ox.ac.uk For queries relating to the recruitment process itself, please contact: recruit@anthro.ox.ac.uk The deadline for applications is 12 noon on Friday 29th August 2025 We expect to hold
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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chemistry and surface functionalisation will be highly rated in the selection process. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University