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: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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), Claudio Gatti (LNF, Italy), and Matthias Schott (U. Bonn, Germany; leading PI). The successful candidates will join the GravNet-IFAE group, in charge of developing and optimizing all theoretical aspects
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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-anticipation Brief Theme Description: Current Foundation Models (FMs) excel at high-dimensional statistical pattern matching, yet they often lack an internal representation of the causal dynamics governing
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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enhancing researchers’ professional development in line with the European Competence Framework for Researchers. Furthermore, in the current call, AGAUR reaffirms its commitment to responsible research