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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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that allow you to: understand and apply quantitative (statistical, econometrical, analytical) methods, understand regulation-related theory and practice; motivation to do high quality research with the aim
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PhD Candidate, you will develop new analytical theories and methods for complex systems of partial differential equations and apply them to models for marine biofilm growth. Join a stimulating research
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associate professor, five assistant professors, ten technicians and about 60 PhD candidates and postdoctoral researchers.
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these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
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connects the fields of plant, animal, and landscape ecology. It advances successional theory by providing a pantropical synthesis of the importance of landscape context for seed dispersal and community
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(Friedrich) at the department of Chemical Engineering and Chemistry, the Transport in Permeable Media (Huinink) and physicists in Theory of Polymers and Soft matter (Lyulin) groups at the Applied Physics
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Graduate School of Business . At the start of the program, you will mainly receive extensive graduate-level training in theory and methods by taking several PhD-level courses. The course load amounts to 36