26 computer-programmer-"St"-"St" Postdoctoral positions at Baylor College of Medicine
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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-vitro and in-vivo CRISPR screens interrogating the downstream effects of cGAS-STING pathway activation following radiation treatment. Organizes overall research plan and design, execute, and troubleshoot
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, bioinformatics, computational biology, or a related field Strong data analysis skills with no required postdoctoral experience Hands-on experience with single-cell RNA-seq data processing and analysis pipelines
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, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. The selected candidate is expected to have good communication skills and the ability to work
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Job Description Apply now Job Title: Postdoctoral Associate Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $62,232 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary A postdoctoral fellowship position in cancer...
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful projects. Job Duties Performs
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identify new strategies for preventing and treating infections. Candidates should have a strong background in computational biology, microbiology wet lab skills, and a collaborative mindset. The position
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single-cell transcriptomic and proteomic data to identify novel immunoregulatory targets. Collaborates with a multidisciplinary team including computational biologists, clinicians, and immunologists