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Field
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for bioinspired robotics. The main focus of this project is how neural circuits in the motor system of the fly, Drosophila melanogaster, orchestrate limb movements and autonomous behavior in complex environments
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on theoretical and computational aspects of quantum many-body systems, including Tensor Networks, Neural Quantum States, Stabilizer formalism, Complexity measures such as entanglement and quantum magic, quantum
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University of Würzburg - NUCLEATE Excellence Cluster | Oettingen in Bayern, Bayern | Germany | 2 months ago
The Cluster for Nucleic Acid Sciences and Technologies – NUCLEATE is a joint research network spanning the Ludwig-Maximilians-Universität München, the Technische Universität München, and the Julius
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to communicate complex scientific ideas clearly and concisely. Work at the interface of experiment and computation, in a group that designs antibodies and nanobodies in silico and tests them in house, with
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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Carilion (VTC). About the Lab: The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics