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theory, estimation theory, and statistical learning, with the aim of generating new ideas that can be applied to a broad range of dynamical systems. The theoretical development will be grounded in key
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programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at The
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statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can
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statistical software applications, such as SPSS, are essential. Experience in preparing and delivering scientific presentations and writing scientific publications is an advantage. We are looking
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The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be
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, medicine, biomedicine, statistics or computer science, or a similar background. - have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent
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, and executing laboratory work, data analysis, supervision of students, statistical analysis, and writing scientific publications. Entry requirements The candidate must hold a Ph.D. equivalent to a
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Cambridge ESOL). More information is available on universityadmissions.se . Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable
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position, Forest Science, Genetics or similar. Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable Place of work: Umeå Forms
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remote sensing. A MSc degree, or equivalent is required, in a subject relevant for the project position in, biology, bioinformatics, plant physiology, genetics, or statistics. Applicants must meet certain