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Field
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dark matter candidates o New probes of early universe cosmology o Understanding constraints on new forces from structure formation Collaborate closely with research group members at Delaware and Johns
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testing and computational simulations (e.g., finite element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and
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molecular fossils, active metabolisms, or physical structures. These data can contain biological and non-biological features that exhibit extremely complicated, correlative, informational properties
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. The Luque lab has recently developed an interdisciplinary approach that integrates theoretical biophysics, molecular dynamics, machine learning, and bioinformatics to predict the capsid structures
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PacBio HiFi, Oxford Nanopore, and graph-based genome technologies. Job Duties Develops, implements, and optimizes algorithms and computational methods for structural variant (SV), tandem repeat (TR), and
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, cross-national comparative analysis of real-world family structures, care utilization patterns, and well-being using multiple nationally-representative aging cohorts (e.g. Health and Retirement Study
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
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crop improvement. The successful candidate will work on chromosome-scale genome assembly, gene annotation, structural variation discovery and development of genomics tools to accelerate breeding across
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transient absorption and impulsive vibrational spectroscopy to correlate cavity-induced electronic, structural and spin-state changes with photophysical dynamics Position Requirements Recent or soon-to-be
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topology, including understanding of riverine structures, branching patterns, and flow dynamics. Experience in network analysis, capable of analyzing and interpreting the interconnectedness and hierarchical