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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
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discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near
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and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an equivalent field; Strong
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biomedical sciences. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). Demonstrated experience in
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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Data Science Center (SDSC) is a national research infrastructure in data science, machine learning and artificial intelligence (AI), founded by EPFL and ETH Zurich. Its mission - to enable data-driven
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: Install and configure software, troubleshoot application-related issues and manage IT software updates for end-user machines. Network access: Manage client access to the EPFL network and resolve
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness