Sort by
Refine Your Search
-
optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
-
objective is to surpass the current traditional thermodynamic and optimization approaches, which are constrained in design discovery capabilities and long-term TES performance evaluation. Through your
-
Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
-
development, particularly in LabVIEW and C++ programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed dermal atomic force
-
for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
-
and trains the next generation of engineers. About the Section: The Systems Engineering and Optimization section within the department focuses on applying systems engineering principles to the design
-
operation of key facilities, contributing to ongoing research and development projects, and providing hands-on support for process optimization and equipment development and maintenance. The job In this role
-
. We are building up capabilities in technology and policy impact assessment building onto our existing optimization models and tools with the aim of developing a comprehensive understanding for whole
-
multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
-
during training, an effect attributed to the properties of the optimization technique. Intuitively, stochastic optimizers tend to converge to flatter minima in the complex loss landscape, which is believed