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these proteins in probiotic bacteria and experimentally test their activity Optimize protein designs based on experimental results Develop bacterial biosensors of intra- and extra-cellular analytes Active
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, structure theory of Kac-Moody algebras, geometric/combinatorial representation theory, quiver representation theory. • Some experience with SageMath, polymake or other related mathematical software
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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algebras, quantum affine algebras, algebraic Lie Theory, number theoretical aspects of representation theory, structure theory of Kac-Moody algebras, geometric/combinatorial representation theory, quiver
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
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is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized brain stimulation and with
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-driven discovery of new physics experiments to test quantum-gravity and observe gravitational waves (examples here and here ) Inventing state-of-the-art AI-driven exploration, optimization, and search
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optimize and ex-ante evaluate different components of an architecture for improving global public good provision that is sketched here . The architecture consists of two components, tax clubs and reward