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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s
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that optimizes outcomes for children with neurodevelopmental disorders and their families. Diversity and inclusion are central to our lab’s mission, and we encourage applications from candidates who will
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and sequencing Illumina and/or Nanopore sequencing libraries, or implementing and optimizing Ribo-Seq or ribosome profiling, or analyzing large-scale genomic data (e.g., entire genomes and