Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg University
- Aalborg Universitet
- Copenhagen Business School
- Copenhagen Business School , CBS
- ;
- Technical University Of Denmark
- Queen's University Belfast
- Roskilde University
- 3 more »
- « less
-
Field
-
-quality educational program. We understand that relocating to a new country or city can be a significant transition. As a team, we are committed to supporting you throughout the process and ensuring
-
international conferences. Your profile Applicants should hold a PhD in physical chemistry, material science or similar related subjects and have experience and expertise in small-angle X-ray scattering(SAXS
-
analysed with TEM and nano-ARPES, as well as other characterisation techniques. You will assemble complex heterostructures with control of twist angle and join our search for flat band physics, new
-
We are now advertising a new position at DTU Physics for the second half period of our project UltraBat - Capturing Ultrafast Electron and Ion Dynamics in Batteries - generously funded for 4 years
-
to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After the expiry of the deadline for applications
-
for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
-
at Roskilde University. The Department conducts basic and applied research within mathematics, medical biology, physics, molecular biology, environmental sciences, and chemistry. Bachelor and Master programs
-
communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree in physics, chemistry, materials science, nanoscience or equivalent. We offer DTU is a leading
-
the core multiphase reactive algorithm and incorporating accurate thermodynamic models into process simulators. The goal is to deliver robust, high-fidelity software tools for both established and emerging
-
considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing