260 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions in Denmark
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encourages open discussion, critical thinking, and knowledge sharing across fields * A professional and supportive work environment with opportunities for networking and social activities * A workplace
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to state-of-the-art infrastructure and collaboration with experts in food structure, technology, and sustainability Opportunities for career development and international networking A strong support system
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Job Description We are looking for support for the transcription and coding of qualitative interviews on changes in mobility behaviour (partly in Danish, partly in English) in the URGENT project
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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and access to shared equipment and animal experimental facilities An informal and multicultural research environment with high professionalism and close collaboration and networking activities A
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take leadership at different stages of project development Conduct and in time lead research projects with high visibility in the international networks of relevance though publications and
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
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for career development and international networking A strong support system for academic publishing and grant development The Department of Food Science The Department of Food Science is part of the Faculty
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. Our group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems derived from real-life
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to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data