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the discipline of doctoral study has to be above average (at least "good" in the German system or equivalent). Only disciplines from the Faculty of Humanities or the Faculty of Mathematics, Informatics and Natural
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science has to offer. Particular emphasis is placed on common responsibility of the Faculty of Mathematics and Computer Science at Saarland University for all doctoral students. The structure of our programme
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: Physics / Electrical Engineering Faculty 02: Biology/Chemistry Faculty 03: Mathematics / Computer Science Faculty 07: Business Studies and Economics Faculty 09: Cultural Studies Faculty 10: Linguistics and
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 1 day ago
interdisciplinary, which is reflected by the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer
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. Academic admission requirements Master of Science or equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics
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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
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 10 minutes ago
of scholarships are available. Outstanding graduates may also receive funding for their research projects from the GRS and the Postdoc-Network-Brandenburg. Faculties Faculty 1 Mathematics
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or natural sciences Bioengineering or materials science Medicine Computer science, physics/biophysics, or applied mathematics If you’re excited about interdisciplinary research and ready to grow as an
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focuses on both fundamental and applied research. The candidate will be a member of the Jan C. Willems Center for Systems and Control which is recognized for its long tradition in mathematical systems
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pool of science, technology, engineering, and mathematics talent and, increasingly, life science talent. UT-ORII is leveraging UT and ORNL’s best capabilities and resources to accelerate collaborative