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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms
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research • Ability to approach work in an analytical, imaginative and structured way, and to work independently in research projects • Good team player and inclination towards acting in networks • Very good
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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knowledge in Machine/Deep Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity
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deep learning practical experience with software development in Python and common deep learning frameworks and libraries, experience in handling large-scale data stocks, ideally geodata, analytical
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Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human