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. Description of the position The research project “Multi-task learning for high-dimensional prediction” aims to combine expertise in bioinformatics methodology with statistics and machine learning. Multi-task
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School, University of Oulu, and it utilizes the existing regional and targeted till geochemical datasets in Finland. The statistical processing of the data utilizes programs made for statistical data
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, Fortran, Python, Java, or similar); Machine learning and deep learning; Statistical analysis of research data; Neural networks, complex systems, optimization; Modeling of transit systems, image processing
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. - Background on statistics or high motivation to learn to work with large geochemical datasets. - Background in data science programming languages (e.g. R, python). Experience in mineral resource estimation
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impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses, research interviews, and any other research tasks. The topics you may work on are varied
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Statistics/Mathematics/Physics Knowledge of quantitative methods used in engineering, with special emphasis on data-driven methods (including machine learning and artificial intelligence), and skills in
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M.Sc. in physics, mathematics, electrical engineering, computer science, or related field Knowledge in statistical inference, Bayesian filtering and smoothing, machine learning, or physics Proficient in
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