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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
; ECG; EMG) from healthyparticipants, involving brain-computer interfacing with Robotic systems and VR in a lab environment Duration: The research fellowship will have the duration of 6 months. It’s
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of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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University of Science and Technology (NTNU) has a vacant position as PhD candidate in the field of machine learning for materials science. Your immediate leader will be the Head of Department. About the
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful
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121/17, 98/19, 84/21), the Article 48.f of the Act on Protection of Military and Civilian Disabled War Victims (Official Gazette 33/92, 77/92, 27/93, 58/93, 2/94, 76/94, 108/95, 108/96, 82/01, 103/03
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War Veterans and Their Family Members (Official Gazette 121/17, 98/19, 84/21), the Article 48.f of the Act on Protection of Military and Civilian Disabled War Victims (Official Gazette 33/92, 77/92, 27
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: Good communication skills in Swedish or another Scandinavian language, both written and spoken A valid car driver’s licence recognized in Sweden About us: The Landscape Governance and Management research
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computer, virtual data storage, and access to software tools for specialized data analysis (e.g., Cryo-EM data, crystallography, etc.). Structural microbiology: Exopolysaccharide secretion and host
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance