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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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-deposited oxide films, and covalent or electrostatic functionalization (30%); 3. Build and optimize experimental hardware, including optical excitation and collection paths, microwave and RF delivery (30%); 4
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mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the supervision of PI Calina Copos and will
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the supervision of a senior scholar. Knowledge of commercial FEA package Abaqus and the programming language Python. The successful candidate will have a good knowledge of numerical implementation of plasticity
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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multidisciplinary and highly collaborative research team and will lead research projects tailored to the candidate’s interest. The candidate will also have numerous opportunities for career and professional growth
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About the Opportunity JOB SUMMARY The Blazek group performs research in cosmology, including both theoretical, observational, and numerical methods. We are involved in analysis of DES data and
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should have research experience in mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the