19 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" 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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Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens-nutrition) . Attends
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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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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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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge
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Qualifications Ph.D. in immunology, genetic engineering or related fields. Great knowledge foundation of tumor immunology principles. Ability to assess highly parametric flow cytometry. Understanding and
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in protein expression and purification, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. Salary will be commensurate with the candidate's
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance