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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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of the developed algorithms) Empirical investigation of use cases Scientific exchange and publication of results This position offers the possibility to acquire a PhD degree, which is encouraged. This research
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 5 days ago
leading research institute doing cutting-edge research in artificial intelligence (AI) and related fields of machine learning, computer vision, robotics, haptics, and more. The institute has close ties
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, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
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control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments, and apply modern machine
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of equivalence with a German qualification. Skills and experience Extensive research experience in the field of artificial intelligence, machine learning, and deep learning with a focus on language
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, evolutionary histories, or domain architectures as potential drivers of altered bacterial virulence. You will apply supervised and unsupervised machine learning to correlate adhesin variation with virulence and
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
for a Data Scientist or Machine Learning / AI expert (m/f/d) Kennziffer 07/2025 to join the AI and High-Performance Data Analytics division of MPCDF. In this role, you will contribute to a variety of
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systems. We intend to develop ground motion models that integrate large-scale databases of observed ground motions, physics-based simulations of seismic waveforms and cutting-edge machine learning methods
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to electron transport theory, machine learning, and molecular dynamics simulations, providing opportunities for students to acquire a broad range of skills. The close interaction with the experimental group