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data to generate mathematical models of cellular signaling dynamics. You will help design algorithms for data-driven model discovery, test proposed algorithms in computational simulations, and
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implement algorithms for machine vision, adaptive control, and real-time learning to support fully autonomous experimentation. Document and share new designs, workflows, and analytical tools with the broader
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approach to examine odor detection and perception in insects, from the molecular basis for odorant detection to the neural and behavioral algorithms underlying olfactory plume navigation. One focus
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. Experience with scientific programming, algorithms, databases, and/or 3D visualization is preferred. A familiarity with bioinformatics is preferred. Experience working with sequence data (FASTA, GenBank) and