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and conferences, and winning further funding to underpin the research. For more information about working at the OMI, see https://oxford-man.ox.ac.uk/ . With a strong foundation in economics, finance
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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include a motivation statement, which demonstrates how their research interests and expertise relate to the project and the desired tasks. Applicants must hold a PhD in a relevant specialist subject (e.g
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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37 Faculty of Business, Economics and Statistics Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2025 Reference no.: 4450 Among the many
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A