154 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at Technical University of Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
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
-
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
-
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
-
authorities, and the other DeiC departments working with quantum computing and data management. We help facilitate Danish researchers’ access to the LUMI supercomputer, which ranks in the Top 10 fastest in
-
paths at DTU here . Further information Further information may be obtained from Professor Julia Kirch Kirkegaard (jukk@dtu.dk ) and/or Section Head Tanja Schneider (tansch@dtu.dk ). You can read more
-
employment is 21 months. Expected starting date is 1 June 2026, or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from
-
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
-
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