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Norway, and Wood group in UK. The preferred candidate should have the following qualifications: Experiences with chemical analysis and pilot experiments is an advantage Data analytical skills and computer
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o calibration and/or data assimilation o satellite geodetic and/or Earth Observation (EO) data processing o meteorological/hydrological data processing and analysis Strong interest in collaborative
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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onwards. Through a combination of history of emotions, educational history, historical ethnography, and policy analysis, the project explores how students' discomfort with, resistance to, and disengagement
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integration and disease gene prioritization. Contributing to the translation of genetic discoveries into biological insight and precision prevention strategies. Your tasks will include data analysis, method
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
RF components. Experience in cryogenics, superconductivity, data analysis, programming, and working in international research teams or collaborations will be considered an advantage. To read more about
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https