65 postdoc-in-thermal-network-of-the-physical-building positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
concepts, aerothermal turbomachinery design, and aeroacoustics. We have a strong national and European network and you will use and master both the state-of-the-art and novel numerical design tools at GKN
-
developing digital and quantitative tools for analysing the built environment. This role provides a unique opportunity to make a meaningful impact on Sustainable Development while honing expertise in a
-
of quick clays. A novel combination of miniaturised thermal-hydro-mechanical experiments and particle level modelling will be pursued to unravel the unique mechanisms that make quick clays so hazardous and
-
challenges and real-world impact. Project overview In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low
-
consists of five professors and several doctoral students and postdocs. We value our open, supporting and inspiring atmosphere with weekly activities throughout the academic year. You will have the
-
Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
-
engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
-
Join the Plasma Physics and Fusion Energy group to help develop the European Transport Simulator (ETS), a cutting-edge fusion research tool supporting the development of modelling fusion power
-
qualifications: To be eligible for this position, you must have (or be close to completing) a Master’s degree corresponding to at least 240 higher education credits in Applied Mathematics, Applied Physics
-
network. This project aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing the robot to improve over time by