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to effectively manage crises. The overall objective for the post-doc position is to explore how effective and reliable current safety education and training by the various organisations in Svalbard, Iceland and
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; vi) perform the analysis of the ensemble projections and discuss, publish and disseminate the results. Education requirements: The successful candidate must have a PhD in climate science, Earth system
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collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
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scale healthcare data analysis for development of precision medicine approaches. The researcher hired for this postdoctoral fellow position will work with the Centre’s datasets, analytical methodology
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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collaboration with the theorists involved. The postdoc will construct and use 3D printed model porous media. The analysis will entail extensive use of image analysis techniques such as Particle Image
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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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approaches from STS and/or innovation studies such as valuation studies or care studies will be considered an advantage. Experience with qualitative document-analysis, ethnography and/or interview studies will
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the following will also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring
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expected to conduct the following tasks: Conduct interview and participant observation research in 1) Norway and Sweden (PD 1), and 2) Germany (PD 2), respectively Fieldwork, data analysis and report writing