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encourages excellence, individual recognition and responsibility. T he Faculty of Biology and Medicine ( FBM ) of the University of Lausanne is inviting applications for position of: Tenure-track Assistant
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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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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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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(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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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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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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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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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