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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 23 days ago
Job Offer from October 10, 2025 The Max Planck Computing and Data Facility (MPCDF), in collaboration with the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS), is looking
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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of accuracy, generalization, and computational speed Integrate models with the existing synthetic grid package Optionally contribute to writing a scientific paper on AI-enhanced grid simulations Your Profile
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and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification
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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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to develop automated algorithms for downscaling drivetrain components for specific test purposes. Furthermore, you will perform multiple case studies to analyze the performance of the developed scaling methods
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, computer vision, pointcloud-processing or machine learning is a plus Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Fluent in English or German What you can expect
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Germany Application Deadline 16 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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processing Simulation and verification of the implemented algorithms with test vectors Integration of IP cores into an OFDM-based Physical Layer Debugging of implemented designs in a LiFi testbed Collaboration
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variations. Like our US partners Jet Propulsion Laboratory (JPL) and Center for Space Research (CSR), we compute monthly Level-2 gravity fields (spherical-harmonic coefficients) and deliver fully corrected