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efforts on the technical and personal level. As the position is very collaborative in nature, you should have an outgoing personality and enjoy working closely with colleagues and collaborators. As a formal
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monitoring and damage inspection using computer vision and deep learning technologies. You will work with colleagues nearby and with academic and industrial partners in Denmark as well as abroad. Your primary
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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and Qualifications This role could be a great match for you, if you have: Proven scientific production and research potential on an international level. Independent problem-solving skills and self
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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from Independent Research Fund Denmark awarded to the Principal Investigator. You can read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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regulations. Place of work and area of employment The main work place is at the Aarhus University Department of Mechanical and Production Engineering Katrinebjergvej 89 8200 Aarhus N, Denmark The position
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conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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primary T cells, and characterize their phenotype using flow cytometry. Engineering human cell lines: Developing and validating HLA-typed keratinocytes and T-cell lines expressing disease-specific T-cell