Sort by
Refine Your Search
-
In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
-
and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
-
experience in tissue sampling and laboratory methods such as immunohistochemistry, genotyping, and ELISA. Have expertise in, and experience with configuring, programming and supporting Med Associates
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! We are looking for a PhD student in computer science specializing in formal
-
magnetic resonance (NMR) spectroscopy will be the main applied methods. As a PhD student you will be expected to conduct independent research in line with the research focus. The work assignments
-
to meter-sized reactors and relatively slow gas flow velocities. Different modeling methods are necessary to cover all aspects of the CVD process. For instance, a combination of computational fluid dynamics
-
leakage. Additionally, recycling methods are being developed to recover lead and other materials from perovskite solar cells, making them more environmentally sustainable. The PhD candidate will focus
-
both time and length scales, from atomic dimensions and nanosecond-fast chemical reaction rates to meter-sized reactors and relatively slow gas flow velocities. Different modeling methods are necessary
-
tunable materials. Besides relevant course work, meritorious experience includes nanofabrication (e.g. electron-beam lithography) and microfabrication, relevant characterization and measurement methods