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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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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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postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
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optimization methods to address challenges in agriculture, healthcare, and environmental resource management, improving efficiency, reducing costs, and enhancing sustainability. Focus - We seek a candidate with
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candidates who have obtained their PhD degree within the last 5 years. The selection process will involve an analysis of curriculum vitae, experience, and compatibility with the project scopes. Activities
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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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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
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events, and research missions in partner countries. Requirements: PhD in Education, Educational Psychology, or related areas; experience in teacher education and comparative research; fluency in Portuguese