21 computer-science-programming-languages Postdoctoral research jobs at Aarhus University
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qualifications: A solid background in programming using Python, R, or other languages. Teaching and supervision experience at the BSc and MSc level. Interest and experience in developing competitive national and
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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ecology, soil science, biostatistics and -informatics, botany and ecosystems Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
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, applied mathematics and computational sciences with a strong focus on computational humanities research. The project leverages an extensive dataset of digitized books, newspapers, and visual artworks
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical