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, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree (PhD), it is important
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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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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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works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty
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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
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interpretable, data-driven observers that enable physically grounded perception and control for robust state estimation and bias correction under uncertain sensing conditions. The PhD candidate will be supervised