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of renewable energy sources, with a focus on wind and photovoltaic plants. Through the integration of meteorological observations, high-resolution numerical models and machine learning algorithms, highly
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1 Nov 2025 Job Information Organisation/Company Università degli Studi di Siena Research Field Chemistry Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 20 Nov 2025 - 23:59 (UTC) Type...
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clothoid-specific algorithms that generate a speed profile that takes into account the characteristics and properties of the applications, applied to the movement of human arms/hands, human locomotion, and
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, for the development of embedded algorithms and control systems, paradigms of shared-control and sensory feedback for wearable robots like limb prostheses or wearable devices for assistance and (neuro)rehabilitation
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Recognised Researcher (R2) Positions Postdoc Positions Country Italy Application Deadline 13 Nov 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded
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algorithm development to hardware in the loop (HIL) validation, architectures for autonomous coordination through guidance, navigation and control of distributed space segments, under cooperative and non
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with other postdocs/PhD students/undergrads Report to the group on the progress of your research activities and mentoring students ESSENTIAL REQUIREMENTS PhD in Chemistry, Physics, Materials Science or a
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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clustering algorithms. 2) M20 / Duration 3 months/ SCM (Amsterdam (NL) (supervisor at hosting institution: Stan van Gisbergen) Goal: acquire experience on specific features of BAND and new VCD code. Training
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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data