151 data-"https:"-"https:"-"https:"-"https:"-"https:"-"RMIT-University" positions at Technical University of Denmark
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metabolic data and correlate NMR readouts with physiological function. Preferred Qualifications: PhD in Bioengineering, Chemistry, Biophysics, or a related field. Extensive hands-on experience with organ-on-a
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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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). 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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Job Description Are you passionate about environmental contaminants, food safety, marine ecosystems, and creating real-world impact through cutting-edge analytical and data-driven approaches? Do you
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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
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like additional information about the position, please contact head of team Mattias Andersson on 93 51 18 01. To learn more about the department, visit DTU Wind . Please note that applicants may be
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online application no later than 15 March 2026. 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
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evaluation using nasal epithelial models and tissue Contribute to in vivo validation in an established mouse model of acute seizures Analyze pharmacokinetics, biodistribution, and therapeutic efficacy data Co
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industry-facing research collaboration and coordinate cross-partner workflows in planning, data-sharing, and iterative decision-making across industrial and academic stakeholders. Teach and supervise PhD