259 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions in Denmark
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with many opportunities for professional development and global networking. Responsibilities and qualifications We are seeking a PhD student with background and interest in enzymology, molecular biology
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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opportunities for growth and collaboration in public health research. Internally, we focus on creating networks for professional mentoring with skilled colleagues across different sections, including a network
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Job Description You will be designing and coding low-level software, real-time systems and boot software while ensuring compliance with ESA (ECSS) standards. You have a passion for space missions
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communication skills in English The research area is very active with many possibilities for collaboration and networking within academia, hospitals and there is a thriving start-up scene. The position is funded
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. The Danish e-infrastructure Cooperation (DeiC) coordinates Danish digital infrastructure as an umbrella for the eight Danish universities to ensure delivery of computing, storage and network infrastructure
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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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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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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