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: Modern machine learning approaches are increasingly exploited to automate and optimize fault detection and classification. We propose to investigate methods that improve diagnostics under under-represented
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collaboration with courts and partners across Switzerland. We are looking for a PhD Student in Law. This doctoral position is part of the SNSF-funded project “Responsible AI for the Swiss Judiciary” at ETH Zurich
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on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum
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designs Increasing trust and explainability in automated decisions Traditional machine learning (ML) approaches require large volumes of annotated defect data and significant manual oversight
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the collective agreement shall prevail. Minimum qualifications: A background in the graphic novel with a PhD or strong academic record in the field is required. Demonstrated ability to teach the graphic novel
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/deploying deep learning models and machine learning applications. Computer skills: Python (PyTorch, TensorFlow), databases (MySQL), 3D Slicer, ITK-SNAP, OpenCarp. Previous experience in research activity in
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represents a major bottleneck for the study of complex catalytic interfaces. Objectives The objective of this PhD project is to develop data-efficient machine learning strategies to study CO₂ hydrogenation
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
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of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules
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following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge in one or more of