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of Neuroscience and Developmental Biology at the University of Vienna, is looking for support of research projects in the thematic field of GABAergic neural network function and evolution in the specific context
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of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary
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information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining human behavior in the usage
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microscopy (cryo-EM), electron tomography (cryo-ET), and structure prediction. As structural biology expands toward in situ cellular complexity and high-throughput computational exploration of predicted
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Quantum Information and Quantum Computing on the one hand and the study of Complex Quantum Many-Body Systems on the other hand. To this end, the team applies a combination of methods from Mathematics as
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Computing on the one hand and the study of Complex Quantum Many-Body Systems on the other hand. To this end, the team applies a combination of methods from Mathematics as well as Physics, complemented by
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study of Complex Quantum Many-Body Systems on the other hand. To this end, the team applies a combination of methods from Mathematics as well as Physics, complemented by concepts from Theoretical
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
datasets and high-performance GPU clusters. Career & real-world impact: access to conferences, strong pathways into academia, industry R&D or clinical-translational roles, plus networking with patient