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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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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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to learn Swedish during their time as PhD-students. For some specific projects, it may be a required that the applicant masters Swedish from the beginning. PhD candidates are expected to work on campus
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analysis and text analysis, and advanced knowledge of programming, data mining, and machine learning are valued. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7
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experience in image analysis, machine and deep learning, including completed courses in these fields, at the master and doctoral level of education, as well as first hand experience in method development
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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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(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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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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Intelligence Research. Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and relevant field or a foreign degree equivalent to a PhD degree within machine learning
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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