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methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance data—into interpretable spatiotemporal risk models. A key methodological component could be the use
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• Experience with bioinformatics • Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english
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comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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today BaneNOR has a scheduled maintenance program. To reduce costs, they want to introduce non-invasive predictive analysis. Predictive maintenance and condition monitoring is a hot topic in electric
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
knowledge of artificial intelligence and knowledge of natural language processing. Proficiency in statistical analysis, such as econometrics and machine learning for survey data analysis. Experience with data
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will apply for the position. More information about gender equality initiatives at UiO can be found here. How to apply The application must include the following six elements as separate documents: Cover
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properties of the Higgs boson. The group focuses on final states containing several tau-leptons. The analysis activity is now extended to include generic anomaly searches using Machine Learning. Furthermore
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signatures of Dark Matter as well as studies of the CP properties of the Higgs boson. The group focuses on final states containing several tau-leptons. The analysis activity is now extended to include generic
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data (e.g., genomic (SNP) data) from these populations (e.g., Sámi). The activity will focus on the development of suitable assessment and analysis (e.g., natural language processing) methods and data