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learning methods will be applied to link small-scale experimental data and numerical simulations to large-scale reservoir models. This approach aims to more accurately capture the complex heterogeneity
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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reendothelialization assays, platelet adhesion assays, and co-culture and immunomodulation studies. They should also be willing to learn new methods as needed, such as chemiluminescence-based nitric oxide (NO) detection
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: - PhD in Business Administration, Engineering, Sociology, or Economics; - Relevant publications in the field; - Experience in qualitative and quantitative research related to ecosystems, innovation
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Requirements: Applicants must hold a degree in Biomedicine, Biology, Pharmacy, Biotechnology, Computer Science, Engineering, or related fields. Additional training (preferably a Master’s and/or PhD) in
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» Aerospace engineering Engineering » Industrial engineering Other Researcher Profile Established Researcher (R3) Positions PhD Positions Country Brazil Application Deadline 25 Nov 2025 - 23:59 (America
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incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in
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of **Movement Sciences**, with a focus on **Metabolism and Bioenergetics applied to Exercise**. **Requirements:** * Bachelor’s degree in Physical Education; * PhD in Movement Sciences obtained within the last 7
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well as dissemination of results in scientific events and peer-reviewed journals. Requirements PhD in a related field (Management, Knowledge Management, Public Administration, Information Science, or related areas
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to varantes@usp.br by November 12. Requirements: Hold a doctoral degree (PhD or equivalent) obtained within the last 7 years Fluent in Portuguese; proficient in English and Spanish; Strong theoretical