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and medical innovation Experience with mechanical design, machining, prototyping, or building custom experimental setups is highly desirable Previous experience with focused ultrasound, fMRI
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science, hydrology, computer science, environmental science, or equivalent You have solid scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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of expertise Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. PhD or other research
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the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
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conferences. You can also expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits , and ETH
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, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare, and attractive pension benefits. Working, teaching and research at ETH Zurich We value
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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missing and incomplete symptom data can introduce bias and worsen existing inequalities. This PhD will develop innovative statistical and machine learning approaches to understand, model, and overcome