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, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group (doi:10.1016/j.chom.2023.05.024; doi:10.1093/nar/gkaf1388), we will develop machine learning tools
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of LCA methods and tools. • Familiarity with energy–water–land interactions, environmental impact assessment, or infrastructure planning. • Machine learning or data-driven methods for large-scale
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research into practical, scalable solutions for modern dairy farms. We develop machine learning models, decision-support tools, and digital platforms that improve production efficiency, herd health
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of interest include: • Machine learning for classification of astrophysical signals • Artificial intelligence augmentation of spaceborne observatories to reduce data transmission rates • Migration of science
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:10.1093/nar/gkaf1388), we will develop machine learning tools to model microbial communities and their impact. The environment: The successful applicant will work within the Hildebrand and Traka groups
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AI / Machine learning / Computational Oncology lab:Our work is translationally focused, towards realizing our vision of developing new approaches for fast and low-cost prediction of patient response
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in accordance with
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.; formal validation/verification of protocols and implementations; biometric authentication and machine learning for usable security; or OT (operational technology) security Communication and organizational
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
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operational constraints and employee preferences, within rigorous optimization frameworks. Data science and machine learning: experience with data preparation, feature extraction, and preference learning