75 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" Postdoctoral positions at University of Oxford
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development opportunities such as mentoring graduate students, and developing project management skills. The project is based at the University of Oxford in the Department of Experimental Psychology, housed in
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DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS 1. Allowance: XJTLU
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relation to healthy urbanism. What We’re Looking For We’re looking for a Postdoctoral Researcher with: Demonstrable interest in urban health and/or sustainable urban development Relevant experience in
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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samples and experimental models, with implications for autoimmune and metabolic disorders. As a Postdoctoral Researcher, you will primarily be responsible for the development, design, and execution
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to taking up the appointment. The research requires experience in the development of colloidal model systems, microscopy techniques and image analysis, and a detailed understanding of self and collective
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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applications received before noon on Friday, 6th February 2026 can be considered. What We Offer As an employer, the University of Oxford is committed to the wellbeing and development of its staff. Benefits
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models to understand the transmission dynamics of infectious diseases and generate insights to inform decision-making. The role will involve analysis of large epidemiological datasets, development
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geothermal processes along the volcanic arc, inform future field deployments, and serve as benchmarks for the development of new deep learning methods for volcanic seismicity. This project will apply deep