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analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and
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. The project goals are to evaluate the geochemical characteristics of acid mine drainage (AMD) fluids and treatment solids at sites that are known to be enriched in rare earth elements, cobalt, and other metals
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with Dr. Kate Hoffman to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis
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including but not limited to microbial ecology, biochemistry, genomics, biostatistics, molecular biology, microbiology, evolutionary biology. Familiarity with metagenomics data analysis, microbial
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-free mice colonized with human lactobacilli to study how estrogen and microbial exposures shape bladder health and infection outcomes. · Multi-Omics Analysis in OAB: Analysis of vaginal and urinary
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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Bioinformatics expertise required for scRNAseq analysis. · Previous cell culture experience. · Perform molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely
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) through IND amendments. Post-opening of the trial, oversight of biomarker collection and analysis pertaining to pharmacokinetics, anti-drug antibodies and cytokine release will be necessary. Oversight
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. Engage in a spectrum of research activities including literature review, experimental design and execution, data analysis, manuscript preparation, communications with collaborators and journal editors, and