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30 Sep 2025 Job Information Organisation/Company FCT NOVA - UNIDEMI Department Department of Mechanical and Industrial Engineering Research Field Engineering » Computer engineering Researcher
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at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 12 days ago
; (ii) data processing; (iii) analysis of results; (v) preparation of scientific manuscripts and other forms of results communication and (vi) supervise and mentor the research work carried out by fellows
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dioxide (SO2) are commonly measured. Each pollutant is produced and destroyed by different processes, and the levels of the various pollutants are correlated with each other, for example, and increase in
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cement based on literature, theory, and experiments. Optimization of composition with other waste materials. Thermodynamic modelling and experiments with advanced technologies are used. Development of a
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and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and
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organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis of organizing processes and their outcomes. Methodologically, we value qualitative
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the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1