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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
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the ability to work independently and in collaboration with multidisciplinary teams. Excellent verbal and written communication skills in English. Preferred Qualifications: Familiarity with Neuromorphic
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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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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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://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
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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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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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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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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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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