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reconstruction and identification with modern machine-learning techniques, offering the opportunity to develop expertise at the interface of experimental data analysis and cutting-edge ML methods. About
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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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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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/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
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 2 hours 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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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and tools. Participation in the hardware
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 days ago
and Network Analysis Mathematical Biology Mathematical Machine Learning / Theory of Deep Learning Mathematical and Theoretical Physics Stochastic Topology Your qualifications Doctoral degree (PhD) in
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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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machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically photocathodes is an asset Excellent communication skills
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software involving machine learning to predict the occurrences of protein interaction sites (so called short linear motifs) in disordered protein regions and determine how they are created or modified