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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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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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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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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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materials with high potential for H2, CO2, and other gas adsorption/storage, based on metal-organic frameworks (MOFs) and covalent organic Frameworks (COFs). These materials act like sponges capable
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targets through the investigation of anti-inflammatory peptides derived from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models
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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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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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BIOTA-Cerrado on Fire. The project is based on long-term fire experiments in the Cerrado biome, with a large and well-established database available. This position is ideal for researchers interested in
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reendothelialization assays, platelet adhesion assays, and co-culture and immunomodulation studies. They should also be willing to learn new methods as needed, such as chemiluminescence-based nitric oxide (NO) detection