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communication skills in both spoken and written English, and experience in working independently and in a team. – see comment We offer DTU is a leading technical university globally recognized for the excellence
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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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-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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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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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
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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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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to publications and other relevant communication Qualifications Relevant university master's degree Good theoretical background in organic chemistry, molecular biology or biotechnology Experience with analytical
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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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simulation and modelling tools In addition, we look for a candidate with strong communication and collaboration abilities as well as excellent problem-solving and analytical skills that have been demonstrated