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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following...
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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scientific and engineering computing, and explores commercial pathways for software innovations. If you are looking for a role that blends technical excellence, leadership, and business strategy, we would like
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University
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interdisciplinary expertise in bioethics, philosophy, social science, medicine, public health, data science, policy and law. We pursue high-level scholarship, participate in international research and policy networks
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The Pioneer Fellowship Deep-Tech Incubation Program is already a highly successful program for ETH spin-offs and has been running for 15 years. ETH start-ups, on the other hand, are technology companies based
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The Animal Genomics group at the Institute of Agricultural Sciences at ETH Zurich investigates DNA variation in individual genomes and at the population scale. We apply long read sequencing