108 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Aarhus University
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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education within one or more of the following areas: education and democracy, education for sustainable development, school exclusion and vulnerability, special education and learning, professional formation
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be expected to contribute to the departments’ teaching and supervision activities and to teach and supervise on the department’s bachelor’s and master’s degree programmes, particularly the degree
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are expected to: shine in individual and collaborative research, either to assist groups of bachelor’s students in doing homework or co-teach advanced courses relevant for your research area. The
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expected to: shine in individual and collaborative research, either to assist groups of bachelor’s students in doing homework or co-teach advanced courses relevant for your research area. The Department
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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applicant will be required to teach and supervise in Archaeology at BA and MA levels of the department’s degree programmes and will be expected to have some teaching experience at university level. We
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partners and by applying for external research funding. Teaching and supervision The successful applicant will be expected to participate in the department’s teaching and supervision activities, to teach and
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assistance and career counselling for accompanying partners. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus