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. • if available: confirmations of internships, language proficiency and conference participation The Closing date for applications is March 31, 2025. The selection process will take place in May and acceptances and
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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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to publications in top-tier international journals and conferences. This research will involve developing and implementing sophisticated transformer-based architectures for processing multimodal business data, with
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and processes, construction and architecture, and legal framework conditions. In the work package Integration/Case Studies , led by the Chair of Architecture and Building Systems, an integrated design
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. Empa is a research institution of the ETH Domain. Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure mechanisms in wooden structures. This will require
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the area of large-scale additive manufacturing for architecture. Project background You will work on the “Digital Process Chain for Hollow Core Extrusion” project in collaboration with the Computational
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environmental performance of products and processes from a systems perspective. We are inviting applications to fill a PhD position in “Decarbonizing the Future of the Chemical Industry”. Project background
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of the lower back and one of the most common reasons for spinal surgery in people over the age of 65. However, the choice between the two major types of surgical treatment - decompression or fusion - remains con
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. Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL. Application Materials Required: Submit the following items online at this website to complete
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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