43 requirements-engineering-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Protein engineering and High-Throughput Screening Division: Neuroscience Work Arrangement: Onsite only Location: Houston, TX Salary Range
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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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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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job-duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in Epidemiology, Biostatistics, Data
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assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. degree in pharmaceutical sciences, bioengineering
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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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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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, biochemical, and other molecular approaches. This will require working with robots, computers, specialized software, and stereomicroscopes in addition to the genetic and molecular biology benches. Baylor
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Science, or a related field. No experience required. Preferred Qualifications Ph.D. degree in biomedical engineering, medical physics, or related fields. Proficiency in preclinical MRI, image data