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- FAPESP - São Paulo Research Foundation
- EEL - University of São Paulo
- Escola Superior de Agricultura Luiz de Queiroz/ESALQ/USP
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- Faculdade de Medicina da Universidade de São Paulo
- Institute for Advanced Studies, University of São Paulo, São Paulo / FAPESP (BIOTA SYNTHESIS – Nucleus of Analysis and Synthesis of Nature-Based Solutions)
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advancement of the quantum rate model developed by our research group. The candidate should be trained in electrochemistry with an emphasis on biosensor and in peptide synthesis. For more information
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analyses, 2D and 3D cell culture in normal, tumor, and immune cell lines. Experience with cancer models, physical exercise, and genomics, including gene editing, will also be valued. Excellent oral and
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the model established by the São Paulo Research Foundation-FAPESP, grantor institution) and contact information.This opportunity is open to candidates of any nationality. The selected candidate will receive a
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environment; - Spatial analysis and models regarding reverse logistics, location-allocation, and routing problems; - Interface with companies and interested parties in generating biogas & bio-products chains
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process includes document analysis and interviews with pre-selected candidates. Applicants must submit a curriculum summary (FAPESP model ), a motivation letter highlighting skills and experience (1 page
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for research in the Human Sciences.- Reside in São Paulo / Brazil.Candidates should send:A. Link to Lattes CV;B. Curriculum summary (FAPESP model);C. Motivation letter of up to 3 (three) pages discussing
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FAPESP LIFE CYCLE ASSESSMENT”, including: • A motivation letter detailing previous experiences and qualifications for the position. • Curriculum Vitae according to the FAPESP model . Benefits
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for the State Management of SUS). To achieve this goal, the project will combine analytical models of research on health systems, resilience and innovation, based on different theoretical-conceptual frameworks
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modeling of neurobiological data. 2. Development of new statistical methods for neurobiological data. 3. Acquisition, processing, and quantitative analysis of neurobiological data. 4. Instrumentation
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addition to expertise in AI, desirable qualifications include: i) experience in mathematical and statistical modeling; ii) experience in computer vision and image processing; and iii) proficiency in programming and