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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and our
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Your position You will work on projects investigating plastic responses to climatic challenges and the evolutionary constraints that limit adaptation to extreme climatic conditions. We address
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The project The bacterial Type 6 secretion system (T6SS) is one of the largest dynamic assemblies in Gram-negative bacteria. It shares evolutionary origins with contractile phage tails and other
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different geodynamic regimes may create environmental conditions that promote, delay, or prevent major evolutionary transitions. The project will explore a range of planetary and geodynamic scenarios
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Develop algorithms for reconstruction of virtual histopathology images from sparse phase-contrast CT acquisitions of oncological specimens Comparison with standard histology and assessment of algorithm
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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range of different ecological, evolutionary, and conservation biology topics that span fundamental and theoretical research through to more applied research. Main tasks – Research: Conduct, in the field
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100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods
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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
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algorithms to store, manage, and interpret data. To meet the challenges, database software needs to communicate efficiently both with the application layer and with the underlying hardware platforms, and