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. The project is structured around two main components: i) Development of new tools based on eDNA and dPCR to improve the monitoring of freshwater pathogens ii) Study of the emerging pathogen Tetracapsuloides
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science. Proficiency in elemental and structural analysis using various techniques. Knowledge of advanced structural characterizations (highly valued). Expertise in surface analysis, electrochemistry
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mechanisms in early embryonic development, leveraging our state-of-the-art epigenetic and epitranscriptomic methodologies (Nature, 2016; Nature Genetics, 2020; Nature Structural & Molecular Biology, 2023
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NanoEngineering has an open Postdoctoral Research Associate position. The nanofiber lab at Rice University, led by Professor Karen Lozano, focuses on the discovery and innovation of process-structure-property
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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, XRF, isotopic, and tephra analysis, alongside the construction of Bayesian age–depth models using radiocarbon, 210Pb, and tephrochronology. Candidates with experience in metagenomics (sedimentary aDNA
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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information, enabling the automated generation of datasets containing the structural and stratigraphic characteristics of interest. This approach allows for improved stratigraphic predictions of regional
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to control the electronic properties of organic semiconductors through chemical doping. The work will combine molecular and materials design with advanced structural, spectroscopic, electrical, and
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of online and inline characterization of materials and polymers in terms of chemical structure (e.g., NMR, IR, SEC) and functional properties (e.g., cyclovoltammetry). Development of feedback-driven synthesis