Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, improving scripts in Grasshopper, running energy simulations and supporting literature reviews, amongst others. You will be guided by an experienced postdoc in the group and collaborate with different PhD
-
To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than five years prior to the application deadline. PhD in business, engineering, or related field Good command of spoken
-
. Contract terms This postdoc position is a full-time temporary employment for two years. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg
-
: For this position it is required to have a PhD in Catalysis. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * It is a merit
-
We are looking for a PhD student in aerothermal design of an outlet stator for an ultra-efficient aircraft engine (so-called outlet turbine rear structure, TRS). The position is in tight cooperation
-
courses to help you settle in. Contract terms This postdoc position is a full-time temporary employment for two to three years. Application procedure Please submit your application in English as PDF files
-
on solving real-world challenges through interdisciplinary collaboration? This PhD student position offers a unique opportunity to contribute to a multidisciplinary research project that explores advanced
-
applications without documented knowledge in chemistry will not be considered. Contract terms This postdoc position is a full-time temporary employment for two to three years. Please note: Since the department
-
of postdoc, you must hold a doctoral degree in chemical engineering, materials engineering, thermal engineering or mechanics, awarded no more than three years prior to the application deadline. The position
-
This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD