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, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion, search, abstractions, threading, and message passing. Course materials are
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This doctoral research will focus on the development, optimisation, and coordinated deployment of advanced aerial platforms, specifically electric vertical take-off and landing vehicles (eVTOLs) and
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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analytics. Collaborate with team-members to develop and implement automated platforms for chemical applications. 3. Document research output including analysis and interpretation of all data, maintaining
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Our project is to develop a unified framework to conduct physical adversarial attacks and defences with a novel
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of terrestrial systems analysis, we seek a candidate who can develop and lead future research activities in one or more of the following directions or related topics: Innovative observation methods for terrestrial
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of Article 4 of Decree-Law No. 74/2006, in its current wording, provided that, under subparagraph e) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher education
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 9 days ago
) of the CEZAMAT Center of Advanced Materials and Technologies, Warsaw University of Technology. The successful applicant will lead WorkGroup 4 (Terahertz Devices & Systems) with objective to develop prototypes
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly