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Field
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in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research proposals. Grant reporting, managing and monitoring. Work with
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networks. Unwanted artifacts can be introduced that influence multiple sense (e.g. vision, hearing and touch) that degrade the sense of immersion in the game. The primary focus of this research theme is to
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neural network models, produce stimuli for artificial and biological agents, participate in experiments with chicks maintained in the Biological Services Unit, contribute to lab meetings and research
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and accelerating the development of next-generation inorganic and hybrid crystalline semiconductors for the net-zero carbon transition. Materials explored will expand from an initial selection
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the National Oceanography Centre; University of East Anglia; University of York; Institut Pierre-Simon Laplace (France); AXA Research Fund; and the international research network JETZON. You will also be part of
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well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require
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manufacturer of the sensors and electronic systems which sit under the skin of the world’s most advanced aircraft, effectively acting as their brains, senses and nervous systems. Protecting pilots, alerting air
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data