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, and benchmark quantum optimization algorithms - Analyze sector challenges and propose quantum-based solutions - Simulate on quantum platforms and publish results Profile: - Ph.D. in Physics, Engineering
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photoproteins within the FAPESP thematic project Bioluminescence: biodiversity; metabolic origin; structure/function and engineering of luciferases; applications in biosensors, bioassays and environmental
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of other emerging strategies and techniques in AI, to detect synthetic realities and sources of misinformation. Applications and submission of documents via form: https://forms.gle/biBrEfns9oMAdp9X8
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and healthy aging, employing iPSC-derived cellular models, skeletal muscle differentiation, and three-dimensional muscle tissue engineering. Requirements: PhD in Genetics or related fields; demonstrated
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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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on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/8647 . Where to apply Website http://www.fapesp.br/oportunidades/8647 Requirements
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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS