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the dual functionalities in our remote health monitoring use cases. The research topic is not limited to one system, but could also consider scaling up, with modular and distributed ISAC systems
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the weblike distribution of galaxies in large galaxy redshift surveys, with the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a
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experimental and computational methods, and should eventually promote our understanding of the potential drivers of language emergence in our species. Requirements What we expect from you: Essential A Masters
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machine learning, with the goal of revealing how genome architecture shapes physiology, ecology, and evolution. Unlock hidden biological patterns while developing key computational and academic skills. Your
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Astronomical Institute, the last 2 years at Tartu Observatory. The PhD research project has the purpose to analyze and combine the weblike distribution of galaxies in large galaxy redshift surveys, with
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) complexity classes for stochastic computing, and realisation of probability distributions and computations on them in novel materials and computing architectures. This position will contribute to the first
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questions at the urban level. This includes analyzing the impact of climate change on urban energy demand, evaluating the distribution grid's capability to accommodate growing electricity demand, assessing
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] Zeldenrust, F., Gutkin, B., & Denéve, S. (2021). Efficient and robust coding in heterogeneous recurrent networks. PLOS Computational Biology, 17(4), e1008673. https://doi.org/10.1371/journal.pcbi.1008673 [4
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relevant to this project include a wide range of computational intelligence and ML techniques, distributed, multi-agent optimization, market-based coordination between agents, automated negotiation and
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climate change on urban energy demand, evaluating the distribution grid's capability to accommodate growing electricity demand, assessing the effects of local policies such as building refurbishment