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are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics
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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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outcomes across multiple descendant generations (Di Gesù, Matz et al., Cell Rep 2022). The research program is focused on identifying the mechanisms by which maternal environmental exposures, from diet
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translational research focuses on drug target discovery and novel therapy development to treat ocular diseases, including diabetic retinopathy, wet age-related macular degeneration (AMD), retinopathy
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neurophysiology of cognition using macro- and micro- probes in the cortex and hippocampus in human neurosurgical patients. Assists in data acquisition and experiment setup. Develops data visualization tools
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mechanisms of genetic neurological disorders. Candidate will work alongside current postdoctoral associates working on Alzheimer's Disease, Parkinson's Disease, and MeCP2 projects. Job Duties Develops ASOs
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. The Liu Laboratory focuses on the integrative modeling of transcription and signaling pathway activation. The lab develops algorithms for the analysis of gene expression arrays and next-generation
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, Baylor College of Medicine. Email: chunmeiw@bcm.edu. Job Duties Performs literature search to identify the gap of knowledge in the field of brain control of metabolism. Develops testable hypotheses and
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diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, and to develop innovative treatment strategies. Job Duties Designs both in vitro and in vivo research experiments; selects
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immunological approaches to understand the mechanisms of cancer predisposition, initiation, and progression and to develop agents (compounds, antibodies, and vaccines). Job Duties Functions independently