Sort by
Refine Your Search
-
properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
-
include: Benchmark study: Compare and evaluate methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy
-
concept will showcase capabilities of an energy island to not only optimally supply its own energy demands and support the grids in normal conditions but also to securely and optimally supply its critical
-
, the focus will be on implementing inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our
-
methodologies for optimally allocating these services based on the characteristics, availability, and operating conditions of different energy resources The research will primarily focus on improving system
-
experimental research focused on downstream processing and refinery technologies for fermentation-based or microbial biomasses. Optimize microbial protein flavor and functionality while ensuring economic
-
ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real