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within the framework of project PROMisH - Potential of Rheologically-Optimized Magnetic Emulsions in Hemotherapy, with nº 16207, and the operation code at the Funds Platform COMPETE2030-FEDER-00736400 and
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samples. The candidate will be involved in developing, optimizing, and validating advanced analytical methodologies, applying them to analyze environmental samples, processing and interpreting data using
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), the Rules for the Attribution and Management of Grants within the scope of R&D Projects, the Code of Administrative Procedure (CPA), all in their current wording, and other applicable national and EU
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
process models for electrified methanol processes under fluctuating power supply from renewable sources # Simulation and optimization of the operating behavior of flexible systems, including control and
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for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in
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have: (i) preferably a background in or an interest in sustainability, biocatalysis, or sustainable chemical processes; (ii) preferably general knowledge of or prior exposure to chemical and thermal
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systems for process optimization. (1 to 5 points). D. Motivation letter that will allow to evaluate the English proficiency and motivation of the candidate (1 to 5 points) After reviewing the submitted
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planetary boundaries (a set of at least nine parameters that indicate how far the ES is from its optimal functioning state during the Holocene (about 12,000 years ago). This model is inspired by Matrix Models
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requirements: Candidates should possess expertise in the characterization of nutrients and bioactive compounds derived from undervalued resources and food products. Experience in optimizing extraction processes
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | about 2 months ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will