16 coding-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" positions at University of Oslo
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Jarli & Jordan / UiO We can offer you A unique research environment with multiple opportunities to develop research themes at the forefront of modern science A friendly, inclusive, and collaborative
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to the position, including personal skills. Jarli & Jordan / UiO via Unsplash Jarli & Jordan / UiO We can offer you A unique research environment with multiple opportunities to develop research themes
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
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quality. In addition, you should be capable of translating requirements, needs, and interaction design into implementation and high-quality code, and have a solid familiarity with version control systems
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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description The PhD project aims to explore how multiple layers of gene expression regulation—including DNA packaging, transcription initiation, and translation—interact to control gene activity. Using
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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. We offer A unique research environment with multiple opportunities to develop research themes at the forefront of modern science A friendly, inclusive, and collaborative international working
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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existing data linkages available in CREATE. These include linkages of registry data across several decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data