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-vocalization relations in song performance Apply for this job See advertisement Job description A Postdoctoral Research Fellowship (SKO 1352) in gesture-vocalization relations in song performance is
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for state preparation and measurement protocol design under hardware constraints. Develop open-source software and documented benchmarks. Co-author high-quality publications and contribute to
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departments of Mathematics, Informatics, and Philosophy, the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Center (NR), and the machine learning group at UiT, with members
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AI technologies and study their societal impact in areas such as healthcare, industry, governance, security, and climate. TRUST is led by University of Oslo, SINTEF, and Norwegian Computing Center
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. Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills are particularly relevant for this project. Excellent written and oral communication skills in English
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, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern biomedical research but remain
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tasks related to high-end bioinformatics analyses of epigenetic and epitranscriptomic datasetsto be generated in CORA and potentially being implicated in the regulation of human body weight and adipose
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with cutting-edge technologies, including modern high-throughput sequencing and bioinformatics. The project investigates the transcriptional profiles of Atlantic cod immune cells at the single-cell
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Your areas of responsibility will be Carry out high-quality scientific research Publish results in high-impact, peer-reviewed scientific journals Apply for research funding Disseminate research at
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, which has long-term experience in investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about