25 computer-engineer-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate - Computational Regenerative Medicine Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular
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cognitive neuroscience across the Departments of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative
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outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in
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Schedule: Flexible Summary Dr. Putluri's lab is applying mass spectrometry technology to study metabolic profiling studies in cancer development and progression. The lab has established a robust research
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-mediated knockdown (KD), and validation of engineered cell lines. Executes molecular and biochemical assays such as qPCR, Western blotting, FACS experiments and analysis, ELISA, flow cytometry, and
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next-generation CAR T-cell therapies for pediatric solid tumors. The fellow will apply high-throughput screening, T-cell engineering, and single-cell analytics to identify and validate novel receptor
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, biomedical engineering, chemical engineering, material science, chemistry or related field. Experience in nanoparticle or LNP formulation and characterization, ionizable lipid chemistry, nucleic acid delivery
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models, including genetically engineered lung cancer model. Cell line model
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data