143 machine-learning-"https:"-"https:"-"https:" "Durham University" Postdoctoral positions in Germany
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Your Job This position sits at the interface between electron microscopy and machine learning. We are looking for a microscopist or physicist with substantial computational practice who wants to
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Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics Plants adapt to their environment through genetic variation, but linking that variation to its ecological role across species
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://www.jobs.tu-berlin.de/en/job-postings/206476 . Keywords: Machine Learning stochastic dynamics SPDE Application Instructions For further information please visit https://www.jobs.tu-berlin.de/en/job
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 16 days ago
domains are e.g. signal-/image processing and machine learning.
Tasks:
- modeling and simulation of near-memory computing architectures for RISC-V processors using
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at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development.
Tasks of the PhD Student
- Develop -
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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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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/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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/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