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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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will focus on integrating image processing, machine learning, and deep learning techniques to improve the characterization and modeling of reservoir rocks. In the first stage, CT, NMR, and BHI images
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experimentation is required. Mastery of techniques associated with imaging intracellular Ca2+ oscillations and phenotypic evaluation of organelles will be considered a plus. Experience gained in different
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-graduate and/or post-doctoral research. Sound experience in cell culture, molecular biology, fluorescence microscopy and animal experiments is required. Expertise on intracellular Ca2+ oscillations imaging
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Requirements: Applicants must hold a degree in Biomedicine, Biology, Pharmacy, Biotechnology, Computer Science, Engineering, or related fields. Additional training (preferably a Master’s and/or PhD) in
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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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for application in different matrices. The candidate must meet the following requirements: - PhD in Bioprocess Engineering, Chemical Engineering, Food Engineering, Biotechnology, or related fields; - PhD degree
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proteomics, characterizing the biological processes and cellular functions related to differentially abundant proteins (DAPs). The postdoc will be based at the Sepsis Research Lab (LPS) of the Federal
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well as dissemination of results in scientific events and peer-reviewed journals. Requirements PhD in a related field (Management, Knowledge Management, Public Administration, Information Science, or related areas