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Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
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grasp of spatial statistical methods in R is considered highly advantageous. Excellent communication skills are required, with proficiency in English and preferably one of the Scandinavian languages
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an English language-based Master's programme (or an equivalent educational achievement in English) shall provide documentation that they have passed one of the following official tests with the respective minimum score
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mindset, be curious and eager to learn. Since you will join an international group, a good command of written and spoken English is necessary. Your academic background should include a Master degree (or
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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collaborations, strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Good communication skills in written and spoken English are required. The groups are ambitious and strive
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equivalent to a two-year master's degree. You must be proficient in English, and knowledge or interest in Scandinavian culture is an advantage. We seek applicants who have demonstrated their ability to work
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electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Strong problem-solving skills and the ability to collaborate in interdisciplinary teams. Excellent command
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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://nbi.ku.dk/english/research/pice/precise/ ). We are looking for a talented, highly motivated and creative student interested in working in a strong interdisciplinary environment. The successful candidate