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of Control, Automation and Intelligent Robotics (LCAR) at the Polytechnic Institute of Bragança. Supervision: Doutora Flávia Pires. Applications must be submitted via the IPB application submission portal
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and Intelligent Robotics (LCAR) at the Polytechnic Institute of Bragança. Supervision: Doutor José Barbosa. Applications must be submitted via the IPB application submission portal (http
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the applicability of the developed sensors and magnetic skin in tactile sensors for advanced robotics. SCIENTIFIC SUPERVISION The work will be supervised by Prof. Susana Cardoso de Freitas. The candidate will be
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, which will have a weighting of 30% in the final ranking. Chair: PhD Luísa Lopes, PhD Catarina Martins, PhD Maria Esteves If the decision to be taken is unfavorable to the granting of the requested
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Bachelor Degree with First Class Honours, or equivalent level; be currently enrolled in the PhD at UniSQ; be an Australian citizen or permanent resident, or New Zealand citizen; be studying in one
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for Agriculture, Environment and Development of the University of Évora, under the general coordination of the Administrator of the University of Évora and the scientific guidance of the PhD, Maria Helena Guimarães
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, investment project nº 54, team, in the context of PPS10: Neural network-based systems for robot application, PRR-GA-PPS10-DIGI2, team, namely developing supervised R&D works, monitoring technical meetings with
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of the Administrator of the University of Évora and the scientific guidance of the PhD Afonso Cavaco, who must draw up an opinion on the final activity report of the scholarship (Annex II), according to the draft in
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: Annually Value: $2,000 The Prize was established in 1964 and the capital of Stg600 was raised by contributions given in memory of the late Maharaia Winiata, MA N.Z., PhD Edin., who was at the time of his
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, Hierarchical Decision and Control Systems with main focus on manufacturing and autonomous systems (1 to 5 points); C. Knowledge of control systems, mobile robotics, automation, data science and machine learning