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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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will explore reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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experience on numerical modelling of aerodynamic and/or hydrodynamic loading on structures. The applicants shall demonstrate the following experiences: Teaching at undergraduate and graduate levels
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills