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. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning language, literature, and culture in first, second, and foreign languages, both in school and out-of-school contexts
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for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.” **Positions Available** We invite applications for Doctoral Researchers with a strong background in machine learning and an
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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-positive future. Responsibilities We offer two PhD positions (m/f/d, E13 TV-L, 65%) each exploring a different part of this challenge: PhD 1: Teach anaerobes to survive a breath of air. You will push oxygen
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localization). This work focuses on machine learning-assisted PSPR optimization of recently developed lean Mg-0.1 Ca alloy produced by PBF-LB. After identification of the most relevant parameters adopting a
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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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elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses on machine learning assisted
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 14 days ago
Job Code: Tü_99 Job Offer from October 21, 2025 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through
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to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required