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teaching environment toits 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more atwww.international.au.dk/
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of EUR 935 million. Learn more atwww.international.au.dk/
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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research and teaching environment and activities. We expect you to teach and supervise students at Bachelor’s and Master’s level and to carry out research of the highest international standards, which
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learning and study environment, which is closely integrated in the research environment. Our department has unique and advanced animal experimental research facilities and technologies, situated in close
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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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 research
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level