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to the project; - Preference will be given to candidates with experience in recording and analyzing sleep and breathing parameters in humans, including protocol design, data collection, and result interpretation
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systematic protocol that will establish specific parameters for phage-based preparations aimed at compassionate use in patients with resistant infections. This project will be carried out at IQ-USP in
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techniques, focusing on environmental parameters; 2. Development of mathematical tools for quantitative assessment of greenhouse gas (GHG) emissions along the production chains; 3. Conducting and supporting
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postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
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-ranked university in Latin America, boasts a Computer Vision Group at IME-USP with over 20 years of experience in machine learning research and strong international collaborations. ** Application Process
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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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staff position within a Research Infrastructure? No Offer Description The School of Electrical and Computer Engineering (FEEC) and the Agricultural Engineering School (FEAGRI), both from the State
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travel, computer equipment and research expenses (https://fapesp.br/en/5427 ). Applicants should submit a CV, publication list, and a concise statement detailing research accomplishments and interests
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Department of Statistics (DE-UFSCar) and the University of São Paulo's São Carlos Institute of Mathematical and Computer Sciences (ICMC-USP). The fellow will be based at UFSCar. The position is open to
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knowledge on signal processing, statistical analysis and computer programming skills. Deadline: 10/31/2025 Furthermore, applicants must send the following documents via email to Alberto Luiz Serpa at alserpa