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energy-innovation technologies. Applying catalysis and reaction-engineering approaches, the role targets low-carbon fuel pathways—such as hydrogen, ammonia, synthetic and electro-fuels, sustainable
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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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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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field. Strong candidates will have a track record of research in peptide quantification and analysis (LC-MS/MS, HPLC, or equivalent), experience studying peptide-immune cell interactions, microbiome
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students. Other duties as assigned. Qualifications: Applicants should have a PhD degree in Neuroscience, Immunology, Cell and Molecular Biology, Biology or a related field. Strong candidates will have a
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therapeutic targets, and support highly translational research initiatives. Key Responsibilities Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate