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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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vitae Grade 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
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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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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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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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-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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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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, along with strong communication skills. Ability to independently pursue complex tasks while actively contributing to a collaborative, interdisciplinary research environment. Strong motivation to achieve
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark