40 machine-learning "https:" "https:" "https:" "https:" "U.S" uni jobs at Aarhus University
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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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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