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structured approach to study and research The ability to work independently and make informed decisions An open and collaborative attitude Strong written and oral communication skills in English You must have
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, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar
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academic approval, and the candidates will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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approval, and the candidate will be enrolled 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
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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transcripts and BSc/MSc diploma (in English) including official description of grading scale A 2-page research plan You may apply prior to obtaining your master's degree but cannot begin before having
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programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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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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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be conducted through online interviews. We offer DTU is a leading technical university globally