45 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Aarhus University
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several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk. Place of Work and
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at university level and will be required to teach and supervise student theses in relevant fields as part of the department’s BA and MA degree programmes. If an associate professor is hired the successful
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background. Job description The successful applicant is expected to contribute significantly to the department’s research and teaching environment. You are expected to teach and supervise students at BA, MA
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk. Place of Work and Area of Employment The place
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scientific interests and priorities and they will establish a vibrant research group utilizing external funding. They will develop new curricula and teach classroom-based as well as field-based courses and
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(for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/marine-diversity-and-experimental-ecology). The department is, and wishes to remain, an active, dynamic, and inspiring
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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