152 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at Technical University of Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Antonio Grimalt
-
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
-
paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa . You can read more about ESE at www.compute.dtu.dk
-
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
-
grant from the European Research Council. The primary challenge in powering AI chips and future data center systems is enhancing the efficiency of voltage regulator modules (VRMs) to meet their
-
of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
-
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
-
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
-
join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven
-
data. You will encode prior knowledge of the collisional processes in tokamak fusion plasmas using sophisticated numeric simulation codes, which will enable you to analyze data from tokamak experiments