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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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The position A position in knowledge-driven machine learning is available at the Department of Physics and Technology , Faculty of Science and Technology, within the UiT Machine Learning Group . This position is
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, bioinformatics, information security, machine learning, optimization, programming theory, visualization, and didactics. Affiliated centers and labs include the Center for Data Science (CEDAS) , the Computational
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing
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experts can better communicate across topics as dispersed as clinical medicine, data science (incl. machine learning and artificial intelligence), mathematics, engineering, biochemistry, biotechnology
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science (incl. machine learning and artificial intelligence), mathematics, engineering, biochemistry, biotechnology, ethics, law, while adapting academic findings to real word needs. ENDOTRAIN is poised
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, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine
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equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role