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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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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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strong expertise in quantum computing, quantum algorithms, and physical simulations, including: - Quantum optimization (preferably Quantum Walk-based methods) - Quantum simulation (cold-atom/quantum-optics
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Foundation (FAPESP and based at CNPEM. The fellow will work on materials synthesis and epitaxial thin films, performing structural and spectroscopic characterization (X-ray photoelectron spectroscopy – XPS
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), a Research, Innovation and Dissemination Center (RIDC) based at the University of São Paulo's “Luiz de Queiroz” College of Agriculture (ESALQ-USP) in Piracicaba (São Paulo state, Brazil), with support
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. The fellow will be based at the São Paulo State University's Botucatu Institute of Biosciences (IBB-UNESP) in Brazil. This opportunity is open to candidates of any nationality. The selected candidate will
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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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). 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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of interest; - Abstract and publications resulting from the thesis. The fellow will be based at the State University of Campinas's Faculty of Physical Education (FEF-UNICAMP) in São Paulo state, Brazil