Sort by
Refine Your Search
-
limited observational data. WaterColor seeks to fill these critical knowledge gaps through an integrated approach that combines field observations, satellite remote sensing, and advanced optical techniques
-
and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
-
of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
-
The project’s focus will be on modeling novel silicone polymers and elastomers and developing mechanical design for storage of energy in the form of large elastic deformations. A close collaboration with chemists
-
main workplace will be at DTU Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Niels B. Larsen at nibl@dtu.dk . You
-
tunnel at the University of Aberdeen Assembling a large database containing historical experimental results of cross-shore sediment and particle transport processes Development of a novel model for short
-
to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies. This is an exciting
-
is looking for a post doc with a background in seafood science and/or seafood development or processing for a large project in collaboration with Food and Agriculture Organisation (FAO), which is an
-
optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
-
robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models