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the study of plant-plant or plant-invertebrate interactions Experience in nematology or nematological methods Strong quantitative skills (e.g., generalized linear mixed models, permutational methods, Bayesian
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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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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
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to improve detection capabilities, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning
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English must take either TOEFL or IELTS. To be considered for admission, applicants must have a minimum TOEFL score of 575 (written test)/233 (computer-based test)/90 (internet-based test) or a IELTS score
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, Wärtsilä-Voyage doo Beograd, Institute of Communication and Computer Systems, National Technical University of Athens, American Bureau of Shipping, Grimaldi Group, Stena Line, Stena AB-Teknik, KNUD E. HANSEN
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. Familiarity with computer programming, e.g., Python, Julia, R, etc. Personal characteristics Motivation for conducting research at an advanced level. Motivation for teaching duties. Ability to work
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to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or
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or computer vision or machine learning. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic background from
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state estimation and bias correction under uncertain sensing conditions. The PhD candidate will be supervised by Professor Thor I. Fossen, with Assoc. Professor Erlend M. Lervik Coates as co-supervisor