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communication and collaborative skills Excellent written and verbal communication skills in English Additional preferred expertise and experience Experience with longitudinal data analysis and advanced
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of their fellowship period within the duty component of 25 %. Place of work is Department of Informatics at Blindern, Oslo.. Project description The postdoctoral position is funded by the Department
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. CRESCO is a team of researchers that combine complementary expertise on epigenetic and epitranscriptomic modifications, DNA repair and genome (in)stability, single-cell and single-nucleotide analysis
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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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data—into interpretable spatiotemporal risk models. A key methodological component could be the use of INLA for efficient inference in latent Gaussian models, and the candidate will contribute
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able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and
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significant philosophical component (political theory, PPE, etc.). The Master's degree must normally have been obtained and the final evaluation must be available by the application deadline. In some cases, we
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be placed on compatibility of the applicant’s professional and personal disposition, with strengths in: Systematic approach Analysis and assessment Implementation Self-development Initiative and
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applicants. In the assessment of academic achievements, quality, originality, scope, open research practices (e.g. open access sharing of data and code, transparency and reflexivity in analysis) and impact
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to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements