50 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at Aarhus University
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find more information about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required to acquire proficiency in the language
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the following areas, biomedicine, immunology, neurology, medicine, biology, or other, related fields. Experiences in microfluidics or single-cell analysis are a plus, but not a prerequisite to learn our methods
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targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in
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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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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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and departments, learning from internationally renowned lecturers. We are striving to provide a School that reflects the demographics of our student base and Aotearoa. Our staff and students can
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with troubleshooting their machines and support their understanding of core concepts. Guide students in working on their own project. Demonstrate best practices and foster the development
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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