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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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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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with a brief summary of your experience; 3. Three reference letters, including one from the PhD supervisor, with an e-mail address for contact. The selected candidate will receive a Post-Doctoral
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with a brief summary of your experience; 3. Three reference letters, including one from the PhD supervisor, with an e-mail address for contact. The selected candidate will receive a Post-Doctoral
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. Requirements: PhD in Genetics or related fields; demonstrated experience in iPSC reprogramming and skeletal muscle differentiation, cell-based functional assays, immunofluorescence and confocal microscopy, cell
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of a 5-year FAPESP-funded thematic project entitled “Nitric-oxide-releasing hydrogels and vascular prostheses for cardiovascular applications.” Qualifications include a PhD in Biology, Physiology