Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
-
green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control
-
systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
-
behavior and over molding flow Implement in situ process monitoring and analyze real time sensor data Optimize processing parameters using modelling and data driven approaches Validate models through
-
PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
that is announced simultaneously. The optimal candidate will preferably have several of the following qualifications: strong skills within chemical synthesis - ideally polymer synthesis using ionic
-
. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power
-
after. The position is for 3 years, and it is funded by Marie-Sklodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled
-
"Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. How to apply Your application must include
-
great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied
-
when pain becomes chronic. Conduct studies including individuals with experimental pain or chronic pain and healthy controls, with the aim of linking changes in pain mechanisms and measures of pain neuro