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cortex dysfunction leads to cognitive and planning impairment in psychosis. The project combines task-based fMRI in individuals with psychosis, online behavioural experiments, and cutting-edge natural
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, contributing £50B to GDP and direct employment for >300,000 people in 12,000 companies. This project will collaborate with the REWIRE IKC (Innovation and Knowledge Centre: Transforming Net Zero with Ultrawide
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knowledge in the discipline to work within established research programmes. You will have experience in either: modelling of permafrost processes and associated hydrological processes, modelling changes in
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) in computer vision or robotics or biomedical image analysis. Knowledge of ultrasound imaging is not a requirement. You should have a strong publication record at the principal conferences and/or
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, together with relevant knowledge in normal and malignant hematopoiesis research, including in vivo models. Experience generating single cell genomics data, previous experience of contributing to high-impact
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. The post-holder will have the opportunity to teach. Applicants should hold PhD in Astrophysics or a related field. A strong background in Radio interferometry observation and sufficient specialist knowledge
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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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