63 computational-physics "https:" "https:" "https:" "https:" Postdoctoral research jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
understanding of material science and electrical transport physics. Experience with electrical characterization of devices, ideally low-noise characterization of magnetometers. A strong drive to move
-
energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
-
the fundamental understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting the most physically sound thermodynamic model for water and electrolytes
-
Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
-
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
-
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
-
Job Description Migraine affects more than 15% of the global population and remains inadequately treated despite advances in biologics and receptor-targeting therapies. Emerging computational
-
is to develop a new curvilinear slicing software and control software and integrate them with a numerical model to build a digital twin of the robotic printing process. Your primary responsibilities
-
combines hands-on nanofabrication, device design and characterization, process development, and strategic research expansion through external funding. The candidate is expected to contribute scientifically
-
] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr