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research group investigates the effects of different models of hypoxia (real and/or simulated) on central and peripheral physiological adaptations in both humans and rodents. The successful candidate is
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. Prerequisites: - Bachelor's degree in Computer Science, Computer Engineering, or related fields; - Doctorate may be in a related field, if proven experience in AI/ML is demonstrated; - Scientific and mathematical
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(HR+/HER2-) and aims to develop predictive models of therapeutic response using machine learning combined with Fourier-Transform Infrared Spectroscopy (FTIR) applied to blood, saliva, and tumor tissue
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purpose including a proposal for development based on the project (available at: News – https://www.cosmopoliticasdocuidado.net/ ), and a Curricular Summary using the model established by FAPESP (the São
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qualitative and quantitative aspects. - Contribute to high-impact academic publications, disseminating theoretical and methodological innovations generated by research. - Establish a replicable model for
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hosted by the UNESP. The Postdoctoral Fellow will be responsible for conducting 3D cell culture experiments using an in vitro model of preeclampsia. Position Profile: - Doctoral degree in Biomedical
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of Renewable Carbon and Biological Systems (ReCaBS Lab), Department of Biotechnology, Engineering School of Lorena (EEL), University of São Paulo (USP), Brazil Project title: “Lignin-derived catalyst ink
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performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
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summary, up to four pages, following this model https://fapesp.br/en/6351 ; 2. List of up to 5 of your main publications, with a brief description of the main results of each of these publications (maximum
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, Agronomy, Agricultural Engineering, or Plant Biology; • Advanced knowledge of plant phenotyping; • Fluency in English (speaking and writing). Desirable Skills: • Familiarity with programming and the use