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infrastructure. The research will investigate how machine learning models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements
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of machine learning, and/or ecological modelling. Excellent oral and written English language skills. Strong collaborative skills, team spirit and the ability to also work independently. Experience with field
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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Professorhip grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a PhD fellow your tasks include: Conduct research under the supervision of senior CNAP staff members
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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, they are ill-suited for inference about system's health in rapidly changing environment of wind turbines. Although physical laws can be enforced to learn a model whose parameters can be physically interpreted
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trade unions, employers, and other relevant parties. Learn more about these initiatives at our Career Hub . The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff
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are specifically encouraged to apply. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Qualification requirements PhD
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique