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will be expected to contribute intellectually and technically to ongoing and new research projects. This includes designing and implementing research-grade systems, developing algorithms and interfaces
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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and
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courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer interaction, as well as participate in the full range
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. Inference methods will be developed within a maximum likelihood framework, based on Newton–Raphson-type optimization algorithms. Particular attention will be paid to the structural constraints imposed by sum
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Computer Science and expertise at the intersection of quantum computing and computer science. Topics of interest include, but are not limited to foundational and applied quantum algorithms, quantum cryptography
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insights. The engineer will collect data from experiments for further processing, error analysis, algorithm improvement and debugging and will document and maintain code via version control software
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analysis algorithms Mentoring students in design, fabrication and testing of ultrasound devices Preparing documentation and publications in journals and conferences Preparing presentations and meeting with
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regulation”. The appointees will be required to: (a) develop multi-agent systems; (b) assist in recommendation, payment and regulation algorithm design; (c) provide support in experimental result
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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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