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. The project seeks not only to fabricate functional prototypes but to establish robust structure-property relationships for the rational design of a new generation of more efficient and stable devices. The ideal
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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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research design;Proficiency and experience in database management;Proficiency and experience in inferential statistical techniques such as linear regression, Pearson correlation, t-tests, and analysis
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). The position offers the opportunity to interact with international collaborators and industry partners. The fellow is expected to explore and design solutions based on machine learning (ML), as well as the use
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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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: - 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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. 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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on the characterization of fluids under high-pressure conditions. The selected researcher will be responsible for conducting Pressure-Volume-Temperature – PVT experiments, as well as determining the onset pressure of
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hyperthermia. The fellow will conduct research within the scope of the Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM), a Research, Innovation and Dissemination Center (RIDC
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expected to demonstrate: • Ability to design and conduct independent research projects; • Skills in leading groups of researchers at different academic stages; • History of high-quality publications in peer