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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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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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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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the possibility of extension. We are looking for PhDs in Mathematics, with experience in Hyperbolic Partial Differential Equations (PDEs), or more in general, evolution equation in the sense of Petrowsky, and who
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, Bulk RNAseq), molecular modeling, and structural bioinformatics. Mandatory Requirements: • PhD in Genetics, Genomics, Bioinformatics, or related fields (completed within the last 7 years); • Proven and
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include micro/nanofabrication for device preparation and charge transport, optical, and magneto-optical studies under varied experimental conditions. Requirements: PhD in Physics, Chemistry, Materials
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Forest biome, integrating chemical, physical, biological and vegetation indicators. Requirements: - PhD in Soil Science, Ecology, Environmental Sciences, Forestry, Geography or related fields; - Experience
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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 the scientific development of PhD students; proposing new research and/or analyses in ongoing projects; updating and maintaining the general database (~1600 patients); publishing at least 2 articles as the first
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. Requirements: - PhD degree obtained within the last 7 years in physical education or related areas, except under the conditions specified in FAPESP Ordinance PR No. 171/2024; - Proven experience in research and