59 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Technical University of Denmark
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Job Description We are looking for a skilled and experienced Full tack Developer with interest in designing and building tools to work with dietary and nutrient data. The Research Group
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, synthetic biology, data science and automation, and we collaborate closely with both academic and industrial partners. To strengthen our shared experimental infrastructure, we are establishing a central
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professional experience At least 5 years of hands-on experience as an entrepreneur or in building and operating digital products and technology startups, ideally within fintech, SaaS, data platforms, or AI
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plant operation. The job We are looking for an academic employee, who has an interest in and very much like experience with laboratory work, including data collection and analysis, literature research
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for candidates with demonstrated experience in both qualitative and quantitative data management and analysis, particularly related to interviews, surveys, text analysis, and collaborative processes. Additional
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tracking, and risk management across the Biofertilizer Development Pipeline, and affiliated research activities Supporting implementation of standardized protocols, data governance, and documentation
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). Incorporate realistic WGS data analysis, antimicrobial susceptibility testing, and epidemiological trace-back into interactive scenarios. Create scoring systems, feedback mechanisms, and learning outcomes
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March 2026 (23:59 Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position
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leading department of a highly reputed technical university, supporting cutting-edge research with robust, sustainable software and data solutions? Are you visionary and excited about developing a new
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to assess and interpret data from experiments, with the ability to identify trends, troubleshoot issues, and optimize processes. Experience in critical evaluation and troubleshooting of both process