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C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within the framework
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beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a strong focus on material science and life science applications. The full field nanoCT setup is one
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Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms
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23.10.2025, Academic staff Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput generation
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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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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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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University services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100