Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
utilization of flexibility across energy systems and markets. The successful candidate must have experience and competences in the following areas: Modelling and simulation of flexible, integrated energy
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
-
cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
-
promotes sustainable economic growth and higher levels of technological innovation. It will benefit society and create a safer and smarter world by providing decent work for all. Furthermore, autonomous
-
(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
-
, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in