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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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. Our research groups work with the development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research group you will
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• Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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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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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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% teaching component. The Department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political
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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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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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experience relevant for your further career, including in project management, survey research, content analysis, text scraping, and text mining. The position is specifically designed to help you build up a
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CO₂ emissions, and enhance resource efficiency. A DPP, serving as a core data element of the circular economy, is a publicly accessible record that provides information about a product’s lifecycle to