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to the design and analysis of dietary and drug/treatment intervention trials in collaboration with clinical partners at NYU Langone; investigating within-host evolutionary dynamics of gut commensal bacteria and
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architecture underlying rapid evolutionary shifts in sensory preference, to the neural mechanisms of anatomy–circuit coevolution. Projects integrate molecular genetics, functional neuroscience, quantitative
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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on the candidate’s experience and qualification. Candidates should have a PhD in computational biology, bioinformatics, microbiology, genomics, systems biology, bioengineering, evolutionary biology, ecology
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI