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30 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile
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growth of Agrostis capillaris patches; 5. Quantification of the biovolume of shrub species; 6. Development of a process for quantifying carbon losses by volatilization (due to fire) in mountain areas
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holder opt for a higher coverage. Personal Accident Insurance: During the grant period, the grant holder will be covered by a personal accident insurance policy. Selection procedure: The selection methods
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Advisor: João Paulo Lopes Monteiro (ist169647) Organic Unit: Department of Electrical and Computer Engineering Scholarship Theme: Software development for 5G Nanosatellite mission Duration: 12 months
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made by bank transfer. Selection procedure: The selection of fellows will be based on a curriculum evaluation (CE), which will focus on the candidate's merit, and an interview (I). The curriculum
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Research Grant within the scope of the project “OUROMOVE - Ubiquitous and Robust Optimization for Fleet Operations and Rostering”, with nr. 17403 and operation code at the Funds Platform (Balcão dos Fundos
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Application Materials When you are ready to complete an application for this position please be prepared to submit the below requested information. This will be required to ensure your application is processed
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for a research grant within the framework of project “NUTRILIX - Technological advances in nutrient recovery and PFAS treatment in sanitary landfill leachates”, with nr. 17381 and operation code
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the process? Visit our scholarship guide Application How to apply You must submit an application and include a personal statement and supporting documentation that verifies that you are experiencing
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 26 days ago
# Semiconductor processing and ion implantation # Nanofabrication and cleanroom technologies # Optical spectroscopy # Programming and scientific data analysis (e.g. Python, MATLAB) # Strong analytical and problem