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Field
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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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07.12.2022, Academic staff The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in quantum networks
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Are you passionate about keeping communications networks secure and trustworthy? Are you eager to explore attacks and countermeasures for QKD systems and to help ensure they can deliver the promised
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and subjective listening tests. Your network and team You will be supervised by Assistant Professor Lauri Juvela, who leads the Speech Synthesis research group at Aalto University. The group works on
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 6 days ago
insurance) are based on the collective labor agreement "TVöD Bund" for the German public sector, usually at pay grade E13 (if the qualifications according to TVöD are met). A projection of the gross and net
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, networks and sensors that can be deployed in the world. The functionality of these technologies is already articulated to some extent, but applications relevant for people, industry and governments are less
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unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular, construction sites often require high-power charging in locations where grid connections are unavailable
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educational opportunities, networking and presenting at local, national, and international meetings, and reading current primary literature. Provides a friendly working environment and be available to teach
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shaving. Job description The rapid electrification of transport, buildings, and industry is creating unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures