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of AI methods to improve the performance of quantum communication networks; (ii) the design of indicators for analyzing the efficiency of quantum tasks across different architectures; (iii) the study of
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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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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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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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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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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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Medical Doctorate and have experience in research with a computational component You have strong experience in computational data analysis and strong familiarity with R, python or related languages Strong
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research with a computational component You have strong experience in computational data analysis and strong familiarity with R, python or related languages Strong interest in the biology of blood formation
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and biomolecular aggregate with interfaces under different types of external forcings and actuation. The successful candidate will develop new mesoscopic models of ultrasound contrast agents
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different