276 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" Postdoctoral positions in Sweden
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an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about
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findings are expected to be published in high-impact journals, and the methods and data will be made available to researchers and stakeholders through open access. We expect the applicant to be able to take
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the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
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, Professor of Islam and Society at SOAS , University of London. The project examines how state-led genetic healthcare policies intersect with religious and cultural practices in close-knit religious minority
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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that the applicant has a PhD in Biology, Ecology, Data Science, or a related subject, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years
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, the project employs a mixed methods approach, integrating actor-network mapping, interviews, extended case studies and participatory visual methods. By combining a global mapping of key actors, data flows
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includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in