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together businesses, research community, civil society, and policy actors to collaborate, share insight, shape the research agenda, and to gain early access to trust-building technologies. C4DT develops
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material in the AI and data science field, teach courses and hands-on workshops Innovation projects and calls for projects Handle leads and requests for applied-research collaborations (direct mandates
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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adaptability at the product-scale through material science and design. Main duties and responsibilities As a research collaborator, you will be expected to: Conduct cutting-edge research including experimental
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and reconstruction framework that exploits sparsity of the underlying dynamics and microchip sample
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and reconstruction framework that exploits sparsity of the underlying dynamics and microchip sample