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mixed-methods studies in real-world and in-person laboratory contexts. They will also have experience collecting and analyzing multimodal multichannel quantitatively and qualitatively. They must also have
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modeling methods to design novel catalytic materials for energy and sustainability. Responsibilities: The postdoctoral researcher will work on the computational design of materials for electrocatalysis
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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with mobile health (mHealth) technologies 3. Knowledge of advanced statistical methods (e.g., structural equation modeling, multilevel modeling) 4. Research or clinical experience with individuals with
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students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant
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social science, or a closely related field is required. -Candidates with solid knowledge and experience in agent-based modeling (NetLogo), machine learning methods (Python), deep neural networks, or social