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activities and to advance research in the anatomical sciences and allied fields. Research strengths in the Center for Anatomical Sciences include biological anthropology, evolutionary biology, forensic
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to working with undergraduates. Specific course offerings include: BIOL 100L (General Principles of Biology Lab) BIOL122 (General Biology II) This course covers evolutionary principles and the diversity
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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. Specifically, the doctoral student will determine how microbial resilience and resistance to drought can arise, along with its ecological, physiological, and/or evolutionary underpinnings. This work will combine
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MR pulse sequences on Siemens platforms for quantitative imaging. Develop, adapt, and evaluate modern reconstruction algorithms for accelerated and robust qMRI. Collaborate with a multidisciplinary
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knowledge by applying statistical, algorithmic, mining and visualization techniques. Data Strategy and Innovation plays a critical strategic role within Advancement, providing the analytical framework, data
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. Yet, damselflies and dragonflies are one of the few otherwise well-known insect orders with close to no tractable study systems for comparative genomics and evolutionary developmental biology research
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at its best moves between fundamental work — in learning theory, algorithms, and representation — and applied work that puts it to use in the world. We welcome researchers who thrive in either or both. We
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic