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University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship within the research project “Statistical Methods for Online Detection
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research project “Statistical Methods for Online Detection of Anomalies ” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre for Knowledge-driven
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setting but in close collaboration with a commercial partner. Methods will include microbial growth of pathogenic bacteria on surfaces under different growth conditions, including the use of fermentation
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with both academic and industrial partners. Methods will include the generation of mutants and other methods in molecular microbiology, protein expression and purification, and both cellular infection
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for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description / Job description The NorFab
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thus offers the opportunity to work in an academic setting but in close collaboration with a commercial partner. Methods will include microbial growth of pathogenic bacteria on surfaces under different
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-adhesion drug development. The position thus offers the opportunity of internships with both academic and industrial partners. Methods will include the generation of mutants and other methods in molecular
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within the duty component of 25 %. Project description / Job description The NorFab infrastructure and Solid State Physics and Quantum Technology research group are investing in equipment for studying
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deep learning methods for multi-modal image data applied to industrial challenges in the energy sector? Advance the use of seismic tiles for extracting information about geological layers? Contribute
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four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is HISP Centre, Department of Informatics at