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considered. For more information about the role, please contact Assistant Professor Miika Mattinen ([email protected] ). For questions related to the application process, please contact HR Partner Eeva
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considered. For more information about the role, please contact Assistant Professor Miika Mattinen ([email protected] ). For questions related to the application process, please contact HR Partner Eeva
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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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University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials