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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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by studying its historical development, current practices, and potential future directions in three key countries: Germany, Norway, and Sweden. The project centers its data collection on the metal and
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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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experience. You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your
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by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5 pages, using a template based on the evaluation criteria), must be relevant
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) recent relevant work experience. You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in
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sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5
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analyze data from multiple sources, including behavioral data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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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