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monthly stipend of R$ 12,570.00, for the project: “Soil carbon and functioning recovery across reforestation methods in Brazil” Host institution: ESALQ/USP – Piracicaba, São Paulo, Brazil Duration: 24
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state, Brazil) is offering one post-doctoral position funded by FAPESP, the São Paulo Research Foundation. The project involves developing combinatorial optimization models and methods applied to packing
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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of the main project; 2. Improve proficiency in the inverse modeling techniques provided by the PEST software, and apply them to the experimental data for calibration of the MFLUX model, as specified in the main
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to positively influence these alarming epidemiological data. The minimum requirements for the post-doctoral candidate (PD) include prior experience in platelet biology, physiology, and pathophysiology; methods
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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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graduates or students (i), and PhD candidates (ii) in Law, Social Sciences, International Relations, Economics, or related fields. ✔ Applicants from all nationalities are welcome! 💡 Preferred Qualifications
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method. The project involves the use of the mixed formulation of the method, with spaces in H(div), which ensures locally conservative solutions — an essential feature for the accurate simulation of flows
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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