57 postdoctoral-position-in-polymer-composites PhD positions at Chalmers University of Technology
Sort by
Refine Your Search
-
encompasses a comprehensive life cycle assessment for evaluate the environmental impact of the hybrid materials and process for the biomass valorization. This PhD position is part of the Wallenberg Wood Science
-
compatibility with industrial applications. The position is part of a large EU project SurfToGreen where you will have the opportunity to interact with world-class researchers in a multidisciplinary environment
-
network. Analysis of reflected signals provide information about the Earth's surface, which allows monitoring of the environment. This position is a unique opportunity to work at the crossroads of satellite
-
have obtained a master's degree or a 4-year bachelor's degree (or expect to complete such a degree by the starting date of the position) in relevant field. Applicants must have a strong background in
-
the EUROfusion consortium, which conducts experiments on several European fusion devices such as JET. There are also close links to the ITER project. About the research project Up to three PhD positions
-
Chalmers University of Technology, Department of Chemistry and Chemical Engineering / Rahm research group Position ID: Chalmers University of Technology -Department of Chemistry and Chemical
-
, e.g., diverse advanced microscopy techniques, nanotechnology, and protein and membrane biophysics. Main responsibilities One PhD position will combine dry-lab work involving artificial intelligence and
-
access to our in-house-developed simulation tools for laser design and modeling. This position offers the unique opportunity to collaborate closely with international research partners specializing in
-
. Contract terms Full-time temporary employment. The position is limited to a maximum of five years. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of
-
This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network