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Field
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to shape—and create—new forms of AI material—algorithms, interfaces and embodiment—through the pursuit of answers to a complex question: in what ways can we make life better for all with interactive digital
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group of Prof. Dr. Kristin Tessmar-Raible, Chronobiology, Department
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development in a similar or related role(s). A3 Experience in teaching courses in Programming, Software Engineering, Machine Learning, IoT, Data Analytics, Algorithms and Programming A4 Comprehensive and up
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design using brute force methods by using non-discriminate parameter variations and recently innovative approaches using artificial neural networks (ANNs) are also developed for the prediction
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ETH Zurich | Space and the Gravitational Physics Research group led by Prof. Michele Vallisneri in the Dept. of Physics at ETH Zurich invite applications for a Software Engineer position (for one
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want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international
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of randomised algorithms. Candidates who are close to completing their doctoral degree will be considered. The post holder will have the opportunity to contribute to the development of the research agenda, as
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accomplished team! Your personal sphere of influence: The research group of Prof. Dr. Kristin Tessmar-Raible, Chronobiology, Department of Neuroscience and Developmental Biology at the University of Vienna, is
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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work with Ayan Paul at EAI and is expected to develop AI algorithms for drug discovery with a combination of public and proprietary data, develop AI algorithms for variant effect prediction with models