18 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" uni jobs at Aarhus University in Denmark
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the Department of Electrical and Computer Engineering, please visit https://ece.au.dk/ . Visit our LinkedIn: https://www.linkedin.com/company/au-ece/ Research areas in the department Electrical and
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identification, and who have significant experience in applying Machine Learning (ML) and Artificial Intelligence (AI) to these areas. Applicants with theoretical, numerical, experimental, or combined research
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the above Sections, but topics beyond, or across sections are also welcome. We are, in particular, looking for applicants with competencies in topics like: Machine Learning/Artificial Intelligence, NLP/Large
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in addressing complex organizational and societal challenges. The successful applicants will be expected to teach and supervise students across all levels. Our study programme portfolio includes an MSc
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the ability to teach at least two of the courses listed below. Applicants should indicate in their application which of the listed courses they are able to teach and how their research interests align with
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, particularly in the context of nutrition, disease, and animal production. Responsibilities Research within the focus areas mentioned above. Teach undergraduate courses in veterinary and animal sciences
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aesthetic fields. The successful applicant will therefore be expected to engage with digital pedagogies and investigate how teaching and learning in culture, art and the creative disciplines can evolve to
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and run courses, workshops, and other learning activities. You coordinate the practical details, support researchers and the CCE team in the development phase. General Coordination & Operational Support
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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degree programmes are taught in either English or Danish. Applicants are expected to demonstrate proficiency in both oral and written English. Non-Danish-speaking applicants will be expected to acquire