379 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in Portugal
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- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
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- iBET - Instituto de Biologia Experimental e Tecnológica
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candidate, the next candidate on the final classification list will be notified. XV - The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human
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candidate, the next candidate on the final classification list will be notified. XV - The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human
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academic degree recognition processes. Preferential Requirements: Knowledge in thermal process simulation and advanced materials processing. Specific Requirements Recipient category: Students enrolled in
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of parametric models applied to the simulation and optimization of building thermal performance; Integration of computational design methodologies within Design-to-Manufacturing and BIM workflows; Exploration
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of buildings with standard lightweight façades. Development of an innovative numerical model in EnergyPlus that allows for the simulation of buildings with dynamic thermal insulation systems. Implementation
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the role of smart building control strategies and the integration of human well-being into energy system design. The goals are: -Apply multi-criteria and multi-objective optimisation to evaluate
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(R1) Positions Postdoc Positions Country Portugal Application Deadline 30 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Job Status Other Job Status Extra
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, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports
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and in integration of solar energy systems in buildings. c) Previous experience with computational modelling and simulation of solar thermal and/or photovoltaic systems. d) Good knowledge
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photovoltaic energy and in integration of solar energy systems in buildings. c) Previous experience with computational modelling and simulation of solar thermal and/or photovoltaic systems. d) Good knowledge