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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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, probabilistic machine learning, linear algebra and deep learning. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines
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the intersection between machine learning and physics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship
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learning, natural language processing, image analysis and computer vision. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and
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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 generative machine learning
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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
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foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by
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field closely related to this position, such as computational mathematics, machine learning, automatic control, optimization, signal processing, or a foreign degree equivalent to a PhD degree in either
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Applied Mathematics, Statistics, Machine Learning, Biophysics, or a related subject or a foreign degree equivalent to a PhD degree in one of the aforementioned subjects. The degree needs to be obtained by