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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
in Computer Science or related field. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience in applied AI, and in
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics
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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer
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around 175 people and is responsible for research and education within the department’s scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 825 students
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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for the research-based public sector consultancy and degree programs covering bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative
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teaching, and to reporting research results in high-impact scientific journals. Job description The postdoctoral researcher will: Develop and conduct research on farm-scale material flows across
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expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile The position is offered to a highly motivated candidate
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a