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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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machine learning principles. The project aims at training and learning using both bottom-up and top-down approaches with applications to cardiac image synthesis, reconstruction and classification
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of regenerative medicine, robotics, and medical devices/bionic technologies. Job description As Robotics Machine Learning Intern, you will occupy a pivotal role in the development and design of our future robotic
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over a protected area in Austria using the most accurate deep learning model. Profile You are a student enrolled at ETH or in a Swiss University, ideally in Geoinformatics, Machine learning
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consortia. Good grasp of satellite- and airborne sensing, geospatial data platforms, and AI-enabled analytics, or demonstrable capacity to learn rapidly. The relevant, sector specific professional network
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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
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural