36 genetic-algorithm-computer-"UCL" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Human Genetics Work Arrangement: Location: Houston, TX Salary Range: Per NIH Guidelines FLSA Status: Exempt Work
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research journals. Minimum Qualifications Education Required: MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in immunology, genetic
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learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
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, immune escape, and clonal evolution leading to leukemia relapse, with the goal of developing novel immunotherapeutic strategies. The fellow will have access to cutting-edge tools including genetically
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of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult
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. We are highly interested in identifying novel neural mechanisms critical for control of energy homeostasis using various molecular, genetic, and viral approaches, including in vitro electrophysiology
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, genetic, and immunological approaches to understand the mechanisms of cancer predisposition, initiation, and progression and to develop agents (compounds, antibodies, and vaccines). The postdocs will
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or Ph.D. in Basic Science, Health Science, or a related field. Preferred Qualifications Doctoral degree in Neuroscience. Previous experience with brain research, histology, imaging, mouse genetic models
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enormous genetic information to functional information). We place emphasis in "Translational Research": from “discovering mechanisms” to “developing innovative treatment strategies” to “moving into clinical
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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