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on earlier and on-going research on automated data collection in organs-on-chip, a new project is now being initiated to explore how machine learning and the combination of different types of data (optical and
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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization
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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning and
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, machine learning, information security, and data analysis. Further, experience with federated learning, transfer learning, GAN, and programming of distributed systems is helpful. The application must
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Framework Programme? H2020 / ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral fellow in Machine Learning with applications in medicine
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. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in computer science, image analysis and machine learning, mathematics or similar, or have
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, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and
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data-driven. Will you be part of that change? Then join us in this unique program! Your goal will to leverage cutting-edge machine learning methodologies to extract conformational ensembles from single
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(preferably Python) and documented ability to conduct user studies are valued. Experience with large language models and machine learning for human-robot interaction is valued. Rules governing PhD students
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completed during the first two years of employment. Documented ability to teach in Swedish or English is a requirement unless special reasons prevail. Personal capabilities necessary to carry out fully