5 machine-learning Postdoctoral positions at Baylor College of Medicine in United-State
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learning algorithms. Good computer programming skills in R/Matlab/Perl/Python. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq
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aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, a CRISPR/Cas9-based mutagenesis screen will be applied to discover and therapeutically target novel
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. Preferred Qualifications Applicants should have a recent Ph.D. degree in molecular biology, or protein engineering, synthetic biology, electrophysiology, advanced microscopy, optics, and/or machine learning
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resistance and cancer recurrence. Methods range from statistical, computational, to machine-learning based. These new methods are expected to benefit the community at large by being broadly applicable
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collaborative team. Strong communication skills, both written and verbal, with the ability to convey complex scientific ideas to a diverse audience. Experience with machine learning and/or statistical modeling