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Field
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty
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the subsequent years, you will combine these insights with predictive modelling and select, train, and validate process-based or deep-learning fire propagation models using a.o. detailed information about
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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models and observations yet still rely heavily on precomputed risk maps. Deep learning has improved flood mapping, but many models remain event-specific and transfer poorly between regions. Geospatial
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, or address deep, long-lasting impacts. In a world facing proliferating conflicts, the Leverhulme Centre for Research on Slavery in War (LCRSW) is the first overarching and integrative academic initiative
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, Computer Science, Electrical Engineering, Physics, (Applied) Mathematics, or a closely related field; a strong foundation in machine learning / deep learning and solid programming skills (e.g. Python, PyTorch
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
immunology with deep focus on T cells and Treg biology Hands-on experience with in vivo mouse models (FELASA certification is a strong plus) Practical experience in flow cytometry (FACS), including protocol
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software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is fully funded by DSTL, due to funding requirement this studentship is only available
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analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics simulation software. Familiarity with deep learning platforms (e.g. TensorFlow
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Farming | Artificial Intelligence | Machine Learning | Deep Learning | Animal Behaviour | Acoustic Biomarkers | Sustainable Agriculture | Digital Farming