20 mathematics-graph-theory Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
. DTU Compute DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally unique academic environment with 400 employees and 10 research sections spanning the scientific
-
for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer
-
mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
-
will collaborate with other team members working on novel high-resolution microscopy techniques to experimentally quantify transition probabilities, alongside density functional theory (DFT) calculations
-
. The new laboratory will also host the Surface Physics and Catalysis (SURFCAT) section, Catalysis Theory (CatTheory) center and Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) as a vibrant
-
collaboration that covers all aspects of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior
-
Systems Transformation with Novel Foods based on alternative proteins (EPIC-SHIFT), we seek a proactive candidate with a strong background in generating experimental data and integrating with mathematical
-
magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
-
Thermodynamics, Transport Processes and Mathematical Modelling. AT CERE has a total staff of approx. 50, of which 6 is faculty. Technology for people DTU develops technology for people. With our international
-
develop mathematically-founded machine learning algorithms for video analyses. Demonstrated experience in developing and evaluating machine learning models. A history of publishing in peer reviewed journals