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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Molecular and Human Genetics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $74,263 FLSA Status
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Faculty.Professor.Research Assistant - Full-Time Med-Microbiology and Molecular Genetics - Pennsylvania-Pittsburgh - (25004693) The Richardson Lab at the University of Pittsburgh School of Medicine
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
their therapeutic potential both in vitro and in vivo that includes designing CRISPR-Cas targeting strategies, analyzes editing outcomes on a molecular level using next gen sequencing and ddPCR and conducts
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lab lab focuses on understanding the molecular mechanisms that drive aging and age-related diseases, with a particular emphasis on mitochondrial biology and metabolic regulation. We explore how
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, biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel radioligand
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developing novel materials with engineered properties that go beyond those found in nature. Responsibilities Metamaterial Design and Simulation: Use electromagnetic modeling and simulation software, COMSOL
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neuroinflammation. The PhD student will help uncover the molecular and cellular pathways linking the allergic gut to the inflamed brain, and how these pathways shape disease risk later in life. The successful
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the progression of age-related macular degeneration. We seek a highly motivated postdoctoral fellow with experience in cell and molecular biology techniques and experience with single cell RNA sequencing. Education
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focus. Example learning problems include exposome and dynamic exposome modeling, learning in timeseries and spatial data, and hybrid deep learning-causal modeling. The successful applicant should have