333 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" research jobs in Sweden
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Main responsibilities The Pollak Dorocic lab at Stockholm University studies the diversity
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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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catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data developing measurement and control systems for experimental setups
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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
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description We are seeking a
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algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging physical X-ray knowledge and deep-learning approaches. Collaboration with