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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
systems; - experience in applying Artificial Intelligence/Machine Learning and/or optimization algorithms to wireless networking systems.; Minimum requirements: The four Research Initiation Grants to be
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the system to identify external disturbances and adapt the control parameters to optimize the precision, stability, and safety of the manipulation. Furthermore, the aim is to develop a modular architecture
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written) ; - Fluency in Portuguese (spoken and written) Minimum requirements: - Experience in electricity markets - Experience in developing optimization problems with GAMS - Skills for conceptualizing
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? No Offer Description Work Plan: The objective of the work is to optimize PHA production from fruit waste and sludge from wastewater treatment plants (WWTP) using mixed microbial cultures in a four
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 16 days ago
transcriptomic analysis, as well as drug testing assays; Demonstrated ability in laboratory management, including stock control, equipment maintenance, and optimization of experimental protocols; At least two
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objectives to be achieved: The work plan includes numerical modeling of the injection modeling process using commercial software, and the integration of these programs with AI-based optimization methodologies
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CFD model of the proposed design, 3. Create a prototype and validate the CFD results, and 4. Optimize the solution initially developed, considering the requirements associated with maintenance and
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to candidates with knowledge and skills in optical communications and signal processing for communications. Work Objectives: The objective of this project is to develop: 1) optimized pre-amplification schemes
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The ADAPQO project aims to develop technology for optimizing queries on data management systems. In this context, the main
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), scheduled to start in 2025-12. Work plan: This project aims to apply Process Mining to the University's business processes, promoting their digitalization and optimization. To this end, the following main