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                “Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis 
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                practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings 
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                expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced 
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                the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise 
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                epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration 
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                for further details. About the PhD position (applies to university PhD positions): The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicant whose education is 
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                to university PhD positions): The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicant whose education is from another country than Norway, need to also attach a 
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                personal suitability for the position is a significant factor in the evaluation. Applicants whose educational qualifications are from countries other than Norway must provide a certified translation of the 
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                funding from Petrolia NOCO. About the project/work tasks: The position is affiliated with the project “Reservoir and Seal Characterization & Prediction: An Integrated Workflow Combining Flow-Facies Analysis 
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                like media experiences and trust, recommender technology, content production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible