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funded 3-4 year PhD position at ETH Zurich. Opportunity to directly linking simulations with unique experimental data from intentional cloud perturbations. Access to high-performance computing resources
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recognises that blockchain systems' large-scale characteristics emerge from the continuous interactions between diverse agents operating under specific protocols and rules. We employ sophisticated data
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skills and programming experience either in Python, or C/C++, or equivalent. Prior experience in snow/ice modeling, field work and in working with large data sets will be advantageous for the project
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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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applications for a PhD position in multimodal artificial intelligence. We are looking for an exceptional candidate to join our dynamic research team in developing next-generation AI solutions that combine visual
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techniques to characterize the detected changes. You will work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data
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in semantic web, knowledge graphs, and large-scale data integration. 🔬 Interest in mass spectrometry, metabolomics, and chemodiversity is a plus. 🛠 Strong analytical, problem-solving, and
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24 Feb 2025 Job Information Organisation/Company EPFL Department ENAC Research Field Computer science » Modelling tools Engineering » Mechanical engineering Researcher Profile First Stage Researcher