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– jointly with the Free University of Bolzano/Bozen The programme aims to train researchers with solid quantitative and theoretical skills capable of analysing economic and financial phenomena. The theses
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are looking for a senior researcher who will support our institute by developing scientific concepts and algorithms in the field of “Earth Observation” within the activities of the group “Advanced Computing
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institution Supervision by experienced mentors in your field Competitive salary and a dedicated research budget A collaborative, inclusive environment for skill and career development Boost Your Funding Chances
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. Job Description The successful candidate will work on research and development of superconducting quantum devices, with a focus on Travelling Wave Parametric Amplifiers (TWPAs). The candidate will be
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“Gazzetta Ufficiale della Repubblica” Number applications 0 Description of the research activity: Participate in the research and development of innovative integrative interactions (physical and digital
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development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in
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and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models
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advanced theoretical simulations to pioneer new approaches in the field. SPARKLE will train 14 highly skilled early-stage researchers across diverse disciplines, including quantum optics, solid-state physics
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. The bottom-up perspective developed by HoloBoot will also be centred on phenomenological applications, ranging from classifying model-independent properties of consistent gravitational EFTs to understanding
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at IIT provides access to a state-of-the-art computational infrastructure and labs for materials synthesis and characterization. Within the team, your main responsibilities will be: Develop new methods