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on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in exploring both theoretical and practical aspects of differentially
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading to the successful completion of a Ph.D. degree. The duration of the appointment
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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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at Museum of Cultural History. The tasks of the researcher include: analysis and revision of available data, based on materials in the Runic Archives at Museum of Cultural History and existing digital
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multivariate data analysis, statistics, numerical simulations, and programming. Skills in academic writing illustrated by published works. Skills in Norwegian or other Scandinavian languages will be an extra
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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relevant topics as the research topic rests heavily on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in
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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