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of novel bioactive compounds and unusual biosynthetic enzymes. The research program pursues two complementary directions. The first involves the biochemical and in vivo characterization of a newly discovered
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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to design and operate catalytic and/or electrocatalytic reactors Ability to synthesize and characterize materials Ability to model and analyze process performance Proficiency in Python or an equivalent
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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with sensor system integration • Familiarity with experimental data analysis and custom device fabrication for materials characterization. • Ability to work effectively in interdisciplinary
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gut microbiome, with the goal of defining how dietary-derived peptides modulate immune function and inflammation. The successful candidate will characterize peptide bioactivity in vitro and in vivo
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible
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translational mechanisms in muscle biology and inflammatory disorders. Model Development: Contribute to the design and characterization of disease-relevant murine models, including biochemical and pharmacological