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undergraduate students to fabricate/characterize complex nanomagnetic heterostructures and explore novel light-induced phenomena using ultrafast spectroscopy and imaging techniques. Outstanding UA benefits
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experience, particularly fluorescence and confocal imaging and analysis. • Experience with histology, immunohistochemistry, immunofluorescence, and protein analysis. • Experience with cell culture and animal
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, medical images, patient logs and other relevant health related data points. Assist in managing study portals, data pipelines and visualization dashboards. Assist in maintaining production systems currently
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Focus: The research will explore novel mathematical and algorithmic approaches for fusing multimodal data, including but not limited to: Genotypic and phenotypic data, imaging, spectral, and LIDAR data
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chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research data to generate meaningful
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characterization, (2) environmental chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research
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the genomic, proteomic and lipidomic aspect of derangement of normal lung development inducing lung pathology and the interventions to disrupt the pathological process including pharmacotherapy. Candidates
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extraction and microbiome processing, library preparation for next-generation sequencing (NGS), and optimization of protocols for a variety of samples, including non-invasively collected samples. Conduct high
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& Responsibilities Analyze neural data using advanced signal processing techniques. Write up manuscripts and generate figures for manuscripts related to the publication Contribute (writing and figures) to grant
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, AND ABILITIES: Strong skills in hydrological modeling and machine learning, Proficient in computer programing (e.g., Python, Fortran, C, Matlab, and/or R), Skills in handling large datasets and high