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focuses primarily on geometric analysis, spectral geometry, and differential geometry on singular spaces, preferably with connections to Finsler geometry, discrete geometry, or machine learning. Your
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randomly deactivated neurones. What you do with us: Researching and implementing novel machine learning approaches that enhance the security of LLMs Self-critical evaluation of the obtained results
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/j.ccell.2025.11.002 Maas SLN, et al. A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification. Nat Genet. 2026;58
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models, multimodal AI systems, or related machine-learning technologies Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent
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Jetzt online bewerben : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28686 Doktorand*in - Medizinische Informatik / KI in der Radiologie (m/w/d) Stellenanzeige merken
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, Natural Language Processing, multimodalem maschinellen Lernen oder Mensch-Maschinen-Interaktion Erfahrung mit modernen Machine-Learning-Frameworks (z.B. PyTorch, TensorFlow), NLP-Bibliotheken (z.B
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
. Strong scientific programming skills, preferably in Python, and experience with modern software-development practices Experience in implementing machine-learning and deep-learning methods Excellent
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 1 hour ago
Dynamics * Information Theory and Network Analysis * Mathematical Biology * Mathematical Machine Learning / Theory of Deep Learning * Mathematical and Theoretical Physics * Stochastic Topology Your
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/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing and machine learning. Tasks: modeling and simulation of near-memory computing