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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
machine learning/AI with modern biology at the AI Hub Heidelberg as part of EMBL AI, a major institutional initiative to embed AI across all areas of life sciences. EMBL provides a unique environment for
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data
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-based methodologies for protein structure prediction and cofolding Machine learning guided virtual screening Taking on organizational tasks and writing grant applications Your Profile The ideal
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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Rheinische Friedrich-Wilhelms-Universität | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
techniques from robotics, machine learning, plant phenotyping, and modeling. These technologies lead to new opportunities for field management, plant breeding, or sustainable crop production. The professorship
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and (on-site) appointments Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's) Flexibility: Flexible working time models, including options
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) to learn about modelling, resilience and RD metrics, starting at M21 The successful candidate will join an interdisciplinary cohort of doctoral researchers and benefit from ReDiLEEP training in response
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datasets for training a machine learning model • Development of ML-based spatio-temporal interpolation methods • Geophysical interpretation and analysis of the results and impact assessment of past and
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics