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Field
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, analyze high-dimensional datasets (e.g., flow cytometry, RNA-seq, spatial transcriptomics), prepare manuscripts for publication, and contribute to grant writing and mentorship of junior lab members. Job
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behavior. Preferred Qualifications: Experience using quantitative spatial techniques to characterize neuron distribution. Brief Description of Duties: The Postdoctoral Associate will assist the Principal
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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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harmonic generation. The project involves pulse compression in a multipass cell, pulse shaping in both time and frequency domains, beam shaping using spatial light modulators (SLMs), and generation of new
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one or more of the following areas: Bioinformatics, Gene-expression analysis, Single-cell RNA-sequencing, and Spatial Transcriptomics. It is most important that you possess bioinformatics/computational
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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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in spatial equilibrium modeling (e.g., through coursework, dissertation work, or previous projects) experience with spatial data analysis using GIS tools or spatial libraries and familiarity with
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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implement an integrated, data-driven digital twin of the national energy system, capable of simulating and analyzing multi-energy infrastructures (electricity, heat, gas, hydrogen) across spatial and temporal