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incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance 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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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
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; dispersive estimates; global existence (in time) of solutions to semilinear problems, possibly assuming small initial data. This position will be supervised by Marcelo Rempel Ebert, Professor at the University
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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