4 computational-chemistry Postdoctoral positions at Chalmers University of Technology
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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(Chemistry, Chalmers) and Saroj Dash (Microtechnology and Nanoscience, Chalmers). The overall goal of the initiative is to predict, realize, and characterize new monolayer, layered, and heterostructure quantum
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on