7 machine-learning "https:" "https:" "https:" "https:" "https:" research jobs at Leibniz in Germany
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related field Solid understanding of machine learning, especially deep learning and transformer models Practical experience with Python and ML frameworks (e.g., PyTorch, HuggingFace, NumPy, sklearn) Basic
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experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The BIO-MICRO project Please find a description of
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. The positions focus on applied machine learning methods for real-world systems. Possible research directions include: Transfer learning and domain adaptation across heterogeneous production environments (e.g
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Pandemic Disease in Preindustrial Europe (1300–1800): Combining History, Machine Learning, and the Natural Sciences (EUROpest)”, funded by the European Research Council Executive Agency (ERC) as an ERC
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Pandemic Disease in Preindustrial Europe (1300–1800): Combining History, Machine Learning, and the Natural Sciences (EUROpest)”, funded by the European Research Council (ERC) as an ERC Synergy Grant