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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computational Biology, Biology, Ecology and; Evolution
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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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troubleshooting. A strong work ethic, resilience, and motivation are essential, along with openness to developing a research niche that complements ongoing projects. Excellent written and verbal communication
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multidimensional spectroscopy, ultrafast two-dimensional (2D) spectroscopy, and/or the development of advanced optical and spectroscopic instrumentation. ● Hands-on experience with ultrafast laser systems
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to manuscript and grant preparation. The postdoc will also help develop a murine model to establish a dose-response relationship between uropathogen burden/catheter biofilm burden and UTI, and will support a
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mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications
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Hippo signaling during Drosophila development as well as cancer. We use Drosophila developmental genetics, cell biology and biochemistry to address these questions. Substantial training will be provided
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possible. We are developing mechanical intelligence as applied to aerial robotics. The focus will be on hardware development and experimental validation up to and including flight testing. Candidates should
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evolutionary genetics/genomics, specifically using genomic approaches to analyze introgression, clonal diversity, and/or host-symbiont associations. ● Experience developing, scaling, or maintaining workflows
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evolutionary genetics/genomics, specifically using genomic approaches to analyze introgression, clonal diversity, and/or host-symbiont associations. ● Experience developing, scaling, or maintaining workflows