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organised in five divisions: Biology, Chemistry, and Process Engineering; Informatics, Economics, and Society; Mechanical and Electrical Engineering; Natural and Built Environment; and Physics and Mathematics
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dissertation is often written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No application deadline Tuition
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oceanography), chemistry, ecology, mathematics, computer science, engineering, economics, or political science Since the programme focuses strongly on numerical simulations, candidates with computer literacy
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degree) in biology, biochemistry, neuroscience, physics, computer science, physics, chemistry, mathematics or related disciplines in the field of natural sciences. Applicants with a European four-year BSc
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. Competence in computer-aided methods for data analysis and modelling, e.g. with Python, advanced MS Excel Sheets, Aspen or multiphysics simulation tools. Excellent cooperation and communication skills complete
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equivalent degree in a subject relevant to our programme (biology, biochemistry, chemistry, physics, bioinformatics, mathematics, or related fields). The academic performance should be excellent (rank
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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and
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Degree Dr rer nat (Doctor of natural sciences) Course location Münster Teaching language English Languages Courses are held in English. Mode of study Less than 50% online Programme duration 6
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change. Inspired by the legacy of trailblazing scientists such as Rosalind Franklin, and Françoise Barré-Sinoussi, this program seeks to cultivate a new generation of researchers who harness curiosity
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Economics Psychology Mathematics and Computer Science Physics Chemistry Pharmacy Biology Geography Medicine Humanities and Social Sciences: Law Business and Economics Social Sciences and Philosophy Psychology