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Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Neuroimaging of Language 0.8 FTE, 2 years Leiden University Centre for Linguistics (LUCL
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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position on vulnerability and adaptation to climate change inside the Mediterranean Ramsar network. The Tour du Valat is a research institute for the conservation of Mediterranean wetlands based in
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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particular emphasis on energy efficiency. The work targets more energy-efficient mobile communication networks - particularly within the Radio Access Network (RAN) - while preserving service quality. The role
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work