42 Education "https:" "https:" "https:" "https:" Postdoctoral research jobs at Chalmers University of Technology
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project The project aims to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and
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position within a Research Infrastructure? No Offer Description Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world
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control, and data science, at the Department of Mathematical Sciences. About us The Department of Mathematical Science provides a creative, dynamic and innovative environment where research, education, and
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. Experience with at least one of the following: programming experience in Python MATLAB or similar tools for data analysis and experiment automation. You are expected to be somewhat accustomed to teaching, and
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of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware coordination of electric vehicle fleets
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We are looking for a postdoc in mathematics with focus on educational science. More details on the project follows below. About us The Department of Mathematical Sciences at the Chalmers University
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Master and/or PhD students in our group that work on related topics. As a Postdoc you are expected to develop your own ideas and communicate scientific results orally as well as in writing. There is the
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develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems
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, we develop new technologies, build knowledge and educate the engineers of the future who can contribute to a sustainable society in the long term. A significant part of our research also takes a
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials