21 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" Postdoctoral positions at KTH Royal Institute of Technology in Sweden
Sort by
Refine Your Search
-
data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
-
for a two year postdoctoral position to characterize the statistics of brain activity and relate it to the underlying network properties. Recent data has revealed the multiple ways brain activity
-
approach needs to include supply and demand for green electricity and other fuels, the connection to the expansion of the electricity grid, the pace of infrastructure expansion, the pace of development
-
vehicles. The Postdoctoral researcher is also expected to develop mechatronic concepts for rail vehicles and implement these ideas as simulation models to validate the concepts. The projects you will work
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The research will deal with development
-
for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical
-
brain injury are widely used for neurotrauma research and therapeutic development. Today, the mechanistic pathway of experimental neurotrauma is largely unknown and yet little biomechanical reference
-
lab is dedicated to advancing predictable and robust systems for protein production, purification, and detection. Our research spans protein engineering for therapeutic development, diagnostics, and
-
capabilities of understanding, producing and translating language. Sign languages have however largely left out of this rapid development. In the project Foundation Models for Sign Language we will develop
-
for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train