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% of the final grade. All these criteria will be evaluated on a scale from 0 to 20 points. 9. Composition of the Selection Panel: President: Doctor Himanshu Sharma, Principal Researcher at the NOVA School
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sub-area of Biotechnology Applied to Health, within the scope of the project “CAN-TARGET – Decoding the Complexity of Cancer: Integrative Strategies to Model In vitro and Target the Multi-Cellular Tumor
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on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Professor Jorge Manuel Oliveira Henriques Effective Members: Professor Paulo José Carrilho de Sousa Gil e Professora Lorena Itatí Petrella
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
plants mapping over national extents using an automated and multi-scale remote sensing framework) and its work packages and milestones, the main goal to be achieved is related with the “Milestone 2
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at the Department of Informatics. Position as Postdoctoral Research Fellow available at the Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi
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topics: - Digital fabrication and robotics, with emphasis on additive manufacturing of cementitious or clay-based materials, integrating multi-axis processes and automation; - Computational and parametric
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electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent
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qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Luís Alberto Proença Simões
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<https://www.usg.edu/policymanual/section6/C2653> policy and its Ethics Code of Conduct<https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct>. For more information, visit us online at
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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition