1,050 requirements-engineering-"https:"-"https:"-"https:" positions at Nature Careers
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Aspiring to be a global leader in electrical engineering education and research, this field promotes the application of cutting-edge technologies in industry and facilitates technological innovation
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We seek a professor to strengthen the department’s research and education in Chemical Engineering Thermodynamics, with a particular focus on advanced thermodynamic models and a good knowledge of
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, public databases, and internal repositories. This role requires technical excellence in data engineering and the ability to communicate clearly and proactively with collaborators who contribute multimodal
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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Engineer to join our Data Center Operations team. You will play a critical role in designing, configuring, and maintaining state-of-the-art IT infrastructure tailored to the needs of life sciences research
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Associate or Senior Editor, BMC Digital Health, BMC Artificial Intelligence, BMC Biomedical Engineer
Job Title: Associate or Senior Editor, BMC Digital Health, BMC Artificial Intelligence, BMC Biomedical Engineering Location: Pune or Shanghai – hybrid working model Applications Deadline: 1st April
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Job Title: Associate or Senior Editor, Nature Mechanical Engineering Location: Shanghai, Beijing, Milan or Madrid - Hybrid Working Model Closing date: 1st March, 2026 About Springer Nature Springer
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Job Title: Associate or Senior Editor (Environmental engineering and technologies), Nature Location: Beijing, Madrid or Shanghai - Hybrid working model Applications Deadline: 1st April About
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. Building upon the opportunities presented by "Industry 4.0" and "Smart City" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial
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skilled Data Engineer to drive scientific innovation through robust data infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi