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project work: Preparation and optimization of perovskite solar cells for use under artificial light conditions; Photovoltaic characterization of solar cells under standard conditions of indoor light
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optimization of new imaging technologies, workflows and applications, including integration of new hardware and software into the platform. ● Contribute to ABBE microscopy and image-analysis courses, workshops
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the scope of R&D projects CFD4SynGAS - Optimizing syngas yield via CFD modeling of co-gasification of biomass and Refuse-Derived Fuels for Waste-to-Energy solutions, 2024.14779.PEX. The complete notice is in
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Programme, under the following conditions: 1. SCIENTIFIC AREA Optimization 2. ADMISSION REQUIREMENTS Candidates must hold a Master's degree in Industrial Engineering and Management, Operational Research
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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developing and applying AI-based methodologies for circuit synthesis, optimization, and design automation. The candidate will also contribute to the development, implementation, and validation of computational
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Develop decision-support models for planning, scheduling, and supply chain management using advanced Operations Research, optimization
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optimization of paint and coating mixtures based on powder coating. • Selection and incorporation of functional particles — functionalized zeolites and photoluminescent particles. • Ensuring chemical
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the activities of Work Package 1 (WP1), related to the simulation and characterization of the system. The work will focus on the development, optimization, and validation of the scintillating fiber-based detection
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to apply on agriculture, modifying/optimizing formulations and/or scaling-up procedures. - Experience with field tests. - Fluency in English; - Being enrolled in a master course or in a non-academic degree