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Field
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efficient power electronics, clean energy generation and conversion, radically more powerful processors for artificial intelligence, electrification of transport and the explosion in space technology
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computer interaction in this context). This work will contribute to the empirical co‑design and testing of principles guiding the development and deployment of AI systems for assisting judicial decision
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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of time-varying photonic metamaterials. First-principles mathematical modeling of optic-wave physics in canonical geometries under space-time-varying polarization responses. Computer programming and
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++ • Experience with robotic systems (ROS, sensors, manipulators, or mobile robots) • Familiarity with computer vision or perception systems • Interest in autonomous systems and agricultural technology • Experience
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of the electron beam. The creation of a computer simulation will serve to clarify the thermal and stress-strain analysis of the cutting of various metallic and non-metallic materials by an electron beam, directly
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Telecomunicações, Coimbra branch, Department of Electrical and Computer Engineering (DEEC), Polo II, University of Coimbra, Coimbra, Portugal. The monthly remuneration to be awarded corresponds to that provided
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perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility, public governance, and healthy living. Each PhD
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perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility, public governance, and healthy living. Each PhD
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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics