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Field
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Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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transport, urban planning, public policy What you will do Develop conceptual frameworks for mobility service usage Statistical analysis of surveys Qualitative interviews with residents in Gothenburg Supervise
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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of the research field Critical Infrastructure Resilience Knowledge of Collaboration theories Ability to conduct social network analysis, statistical analysis of surveys, or modelling of critical infrastructures
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development of digital ICF-based tools * working with data collection, data management, statistical analyses and/or qualitative analyses * writing and publishing scientific articles in international peer
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Infrastructure Resilience Knowledge of Collaboration theories Ability to conduct social network analysis, statistical analysis of surveys, or modelling of critical infrastructures. Knowledge and experience