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, exoskeletons and force augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper
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regularization methods and machine learning techniques with problem-dependent a priori information provided by business partners. Therefore, skills in both the regularization of inverse problems and the
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using machine learning methodologies; (2) the extension of an existing CFD framework for multiphase modeling to the case of PEC systems; (3) the implementation within the framework of a description of
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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, stochastic differential equations, computational methods in fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned
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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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performance and remaining useful life prognostics, combining experimental data with physics-based and statistical models. A key role is played by Artificial Intelligence and Machine Learning techniques
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Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi
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Engineering, Computer Science, Telecommunications, or related areas. Solid background in signal processing, wireless systems, applied mathematics, and/or machine learning. Proficiency in programming (e.g
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, enabling innovative applications and translational research. We seek exceptional candidates with strong expertise in the fields of genome editing and cellular immunotherapy (CAR-T cells, NK-cells