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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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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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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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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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. 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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knowledge. If special circumstances apply, this training for teachers in higher education may be completed during the first two years of employment. Documented ability to teach in Swedish or English is a
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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