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learning that can generalize. Duties The PhD student will carry out research in the area of distributed machine learning The PhD student will actively contribute to setting up the research questions in
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of Tübingen, University of Sydney, and Aalto University. We strive for all PhD students to get a solid international experience during their PhD. Project description Machine learning methods hold the potential
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: linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, deep learning, and software engineering. Rules governing PhD students are set out in the Higher Education
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: statistical machine learning, optimisation, linear algebra, calculus, deep learning, programming, dynamical systems and control. Rules governing PhD students are set out in the Higher Education Ordinance
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, programming, machine learning, statistics, geographic information systems, limnology, ecology, biogeochemistry, and fieldwork. Additionally, possessing a driving license for personal cars (EU class B) is
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Fellow will devote most of their time to research. There is the possibility of participating in teaching (up to 20%). Requirements PhD degree in Computer Science, Automatic control, Machine learning
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biology. The applicant should also have an interest in learning, or previous experience in, computer programming, particularly using languages such as Python. The ideal candidate is driven and a creative
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to design systems 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
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. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems
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the Faculty Board he/she shall be promoted to and employed as Associate Professor. Qualifications Required: PhD. Applicants who have obtained a PhD degree or achieved the equivalent competence in seven years