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software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
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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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. Our lab uses a broad range of techniques including proteomics, genomics, metabolomics, biochemical in vitro reconstitution, fungal genetics, and live-cell imaging. The ideal candidate for this role will
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combine genetics, optogenetics, in vivo calcium imaging, and quantitative behavioral methods to uncover fundamental organizational and functional principles of the brain. For more information about the
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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
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wide range of approaches: protein biochemistry and reconstitution, single-molecule biophysics, proteomics, metabolomics, fungal genetics, evolutionary analysis, mammalian cell culture, and live-cell
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. Focus on genetics, genomics, evolutionary biology, or computational biology is preferred. Experience with Python, R or a different scripting language is required. Experience with mathematical modeling and
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. Document and present findings in internal meetings and scientific publications. What You Bring: A Ph.D. in Developmental Biology, Molecular Biosciences, or a related field (e.g., Genetics, Systems Biology