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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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and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic
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must hold a PhD in astronomy/astrophysics (awarded within the last 7 years), with experience in stellar astrophysics, survey data analysis, or machine learning, and strong programming skills
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of machine learning tools. Fellowship Details: The fellowship is for 3 years, with possibility of extension. Please submit a cover letter, including experience and motivation, and your full CV to rvr
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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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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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the State University of Campinas (FEM-UNICAMP) in Brazil under coordination of Prof. Denis Schiozer. Fellowship Supervisor: Prof. Alberto Luiz Serpa, co-PI at EPIC Requirements: PhD in Engineering with
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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 University
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position within a Research Infrastructure? No Offer Description The research proposal aims to use machine learning, including large-scale language models, to analyze large datasets of smaller Solar System
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, Brazil, has one post-doctoral fellowship position available in the area of Food Technology, with a focus on Pulsed Light Technology Applied to Animal-Origin Products. Prerequisites: - PhD completed within