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Field
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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Søren Hauberg
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networking within the Wise Judgment Consortium (https://wiseminds.uwaterloo.ca/ ), an international network of researchers studying wise decision-making with methods from psychology, cross-cultural research
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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description Reefs serve as carriers of biodiversity but have been largely lost in the North Sea. Restoration is complex and currently primarily conducted at a small research scale. Achieving impactful reef
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complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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, which is the overwhelming camera technology of today; machine learning with deep neural networks. More details can be found here . The Department of Mathematics at KTH offers a high-class, active research
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position concerns a 2 years contract for the development of experiments on complex biomolecular
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health