6 machine-learning Postdoctoral research jobs at Baylor College of Medicine in United States
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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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required) skills: experience in any of the following areas is especially valued: synaptic plasticity, Python programming, structural biology, AI / machine learning, calcium imaging, FRET sensors
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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
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recording, machine learning, and complicated genetic tools to understand cellular heterogeneity and circuit organization of healthy and diseased brains. The fellows will use rodent and primate models