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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 | about 1 hour 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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PhD candidates visit eighth to 12th grade school classes. The aim is to ignite pupils’ curiosity for science and develop a culture of tolerance and respect for people from different cultural backgrounds
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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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information, please visit our website . Faculties Faculty of Medicine Faculty of Mathematics and Natural Sciences Faculty of Arts Course language English Current information Applications are accepted year-round
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suits their needs and interests. Students are required to earn 25 ECTS credits during their doctoral studies, which can be accumulated by participating in a variety of different activities as outlined
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an interest in computational neuroscience and with a strong mathematical background are welcome to apply if they hold an MSc or equivalent degree at the start of the programme. We strongly advise you to check
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | 39 minutes ago
respiration function, and how are their activities regulated? How do plants form their organs, tissues, cells and sub-cellular structures, and how is the formation of different organs and structures coordinated
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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of learnt features across the layers of various neural network architectures. -- Investigate the role of different types of layers (e.g., residual blocks, transformers) in shaping the learnt features and