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Field
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Are you interested in plasma physics? Do you want to help demonstrate the usefulness of radio-frequency driven plasmas for industrial processes? We are looking for a motivated PhD student to
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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) further study of the method, to understand how the 13C signal develops and is distributed in the plant, and how sampling can be optimized to show such effects of even shorter dry periods, typical
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between insects and bacteria involves complex exchanges of metabolites, regulatory signals, and evolutionary adaptations. Understanding these processes requires integrating diverse layers of biological
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of an international selection procedure for the recruitment of 1 Junior Researcher Under the terms of Order no. 181/2023, of 04 January, by delegation of powers, the Director of the Faculty of Science and Technology of
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solid mechanics, sensing and signal processing, and robotics? If so, you might be an excellent candidate. Information The demand for autonomous robots capable of physically interacting with the world in
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: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10. Curricular merits: up to 1 point out
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between the simulator and sensors located in the operating room. This will require implementing data acquisition algorithms and data processing algorithms within the simulator. The second point concerns
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design