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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
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Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
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the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite
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them, and conduct experiments with modern machine learning techniques (e.g., deep neural networks, graph neural networks, or active learning) with the goal of predicting the performance impact of code
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on the software side: - Warm-start for VQAs using the underlying structure of molecules and their Hamiltonians – to minimize the number of quantum-classical computer cycles needed for convergence. - Learning
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for VQAs using the underlying structure of molecules and their Hamiltonians – to minimize the number of quantum-classical computer cycles needed for convergence. - Learning functions to map molecules