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design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and
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of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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catalysts can bridge fundamental insights obtained from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface chemistry with engineering to produce a tangible
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-term and follows Aalto's standard 2+2 model. It will be made initially for two (2) years, with a six (6) month probationary period, and extended by two (2) further years after a successful mid-term
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Asia, including research visits abroad. The contract is fixed-term and follows Aalto's standard 2+2 model. It will be made initially for two (2) years, with a six (6) month probationary period, and