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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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. The applicant will join a well-funded lab to engage in basic and translational neuroscience research. The laboratory uses in-vivo and in-vitro recording techniques including 2-photon imaging, whole-cell recording
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, transcriptomics, circuit mapping, 2P imaging, and nanoscopic imaging to understand how disruptions in neural-microglia signaling contributes to the disease. They have a dynamic group that offers an engaging work
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metabolic, physiological, and imaging data, as well as demonstrates accurate data and results documentation. Conducts Manuscript Preparation: Drafts manuscripts, submits them for publication, and revises
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, in vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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a combination of chemical biology, analytical chemistry, mass spectrometry-based omics, imaging, and in vivo tools to investigate the fundamentals of brain lipid homeostasis. The ideal candidate will
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tools for perturbing and imaging the brain. For examples of our recent breakthroughs, see our publications in Cell and Nature Communications on advanced voltage indicators for recording electrical