50 communicative-language-teaching PhD positions at Technical University of Denmark in Denmark
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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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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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communication skills and an openness to interdisciplinary teamwork Solid English capabilities are required for writing documentation and for communication with colleagues in a multinational setting. You must have
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. Qualifications: Background in data science Interest in physics-informed machine learning Strong written communication skills Enthusiasm for interdisciplinary collaboration Strong team spirit Experience with metal
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education, you will follow courses and assist in teaching activities, and: You are expected to spend a period at a foreign research institution You will disseminate your work in international peer-reviewed
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analysis; experience with multivariate data analysis is considered an advantage. Excellent communication skills in both written and spoken English. Flexibility, self-motivation, and the ability to work
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. Publish the new findings in the international peer-reviewed literature Present your research at international conferences and participate in relevant project meetings Communicate effectively with colleagues
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in Mechanical, Production, Materials, Industrial or Robotics Engineering