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Degree Dr rer nat Course location München In cooperation with Find out about the participating research groups here: https://www.lsm.bio.lmu.de/faculty/current-members/index.html Teaching language English Languages All courses, lectures and seminars at the LSM are held in English. Students can...
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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT
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Faculty 08: Philosophy and History Faculty 09: Linguistics, Cultures, and Arts Faculty 10: Modern Languages Faculty 11: Geosciences and Geography Faculty 12: Computer Science and Mathematics Faculty 13
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chemical engineering, computational engineering, computational mathematics, data sciences / analysis, system or process engineering, or a comparable field Comprehensive knowledge of data science, data
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to be above average (at least "good" in the German system or equivalent). Only doctoral subjects from the Faculty of Humanities or the Faculty of Mathematics, Informatics and Natural Sciences
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of Mathematics and Computer Science at Saarland University for all doctoral students. Special promotion / funding of the programme Other (e.g. state level) Course-specific, integrated German language courses
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03: Mathematics / Computer Science Faculty 07: Business Studies and Economics Faculty 09: Cultural Studies Faculty 10: Linguistics and Literary Studies Faculty 11: Human and Health Sciences Faculty 12
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 2 hours ago
the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer science, epidemiology/public health studies, and
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equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, psychology, cognitive science
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells