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project examines the key processes, actors and cultural accommodations that drove unprecedented levels of natural resource consumption in industrial societies in the 20th century. Offering an innovative new
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the efficiency and speed of warm rain formation (drizzle) processes under varying natural and seeding conditions. Collaborating with team members on data analysis, interpretation, and modeling efforts. Publishing
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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(such as JAX/PyTorch/TensorFlow) Strong background in modern AI architectures, especially transformers and multimodal models Experience with computer vision and natural language processing Experience with
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at EPFL. This PhD position is funded by the Swiss National Science Foundation. The primary focus of the research is to leverage the anaerobic digestion process as a central focus to study fundamental
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and on the handling of natural hazards. The Forest Soils and Biogeochemistry research unit investigates the impacts of climate change on soil biodiversity, soil functions, and ecosystem processes
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AI architectures, especially transformers and multimodal models Experience with computer vision and natural language processing Experience with large-scale model training and deployment Knowledge
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Infrastructure? No Offer Description PhD Student Position in UAV-Based Synthetic Aperture Radar Remote Sensing The SAR Remote Sensing Technology Group at the Chair of Earth Observation and Remote Sensing, Dept
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: knowledge of basic natural language processing or text entry techniques Familiarity with interactive systems or interaction techniques Strong problem-solving and technical debugging skills Optional
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learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language processing, algorithmic learning, fault