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to optimize phenotype/physiological space through mechanistic diagnosis and simulations; - Develop an AI-driven platform that fuses SB and real-time field spectral data to advance precision viticulture
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and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Integration of pasture simulation and animal movement with ML predictions (e.g., meteorology/growth), supporting
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applicable only to PhD holders who do not benefit from permanent or open-ended employment contracts and who have been - or are - on fixed-term contracts or grants, as PhD holders, at an institution part of
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developing an efficient storage solution for AI applications deployed at HPC centers. In detail, the work will focus on the development of a storage solution that optimizes the persistence of checkpoints of AI
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research institution, is accepting applications to hire a doctorate researcher for a permanent contract to work at INESC TEC's Centre for Human-Centered Computing and Information Science. The hiring process
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, supported by INESC TEC. 2. OBJECTIVES: The work to be developed under this grant aims primarily to explore and assess the security risks associated with GitHub Actions, as well as to design new solutions
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losses (insertion and propagation) and to optimize the entire fabrication process. The work includes writing in silica substrates or multicomponent glasses. Additionally, the fabrication of waveguides in
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-time monitoring.; • Develop numerical models to simulate the dynamic behavior of mooring and anchoring systems under different environmental conditions.; • Analyze and optimize structural performance and
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of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through
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Advisor: André Dias Start Date: from 2026-01-08 to Location: INESC TEC, Porto, Portugal Job description: Work Area: Robotics Project overview: - Conduct a survey of the computational and hardware