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unique organ collections, and analyzed them using state-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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Learning (ML) Design, implement, and evaluate AI-based methods, with a particular focus on Natural Language Processing (NLP) Investigate, apply, and advance state-of-the-art NLP techniques, including
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substantially alter the local biophysical and biochemical properties of proteins with implications in partner binding and conformation. In a collaborative effort with the Beli lab (IMB) and Gräter lab
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 11 days ago
(2024) and Cell Reports (2026). Lucia Testa works on geometric and topological deep learning, including neural networks on simplicial and cell complexes, with contributions in IEEE Transactions on
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quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher - Probabilistic Deep Learning for
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
notebook, and development of metadata formats and ontologies — through practical learning formats such as workshops, online courses, and collaborative training with bundled knowledge sources. Opportunity
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Helmholtz Association of German Research Centres | Bonn, Nordrhein-Westfalen | Germany | about 1 month ago
analysis Practical experience in working with mice as animal models is of advantage. Practical knowledge of data analysis and machine learning using R or Python is of advantage Very good English
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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