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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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in population genetics, statistical genetics, or a closely related area. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python). Experience with
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therapeutic strategies. Our research program is highly collaborative and integrative, using cutting-edge experimental approaches involving cell culture system, primary cell and organoid cultures, ex vivo models
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: molecular engineering, plasmid generation and purification, multi-photon imaging, hippocampal function, learning and memory. Excellent written/oral communication in English. Ability to work effectively in a
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development, hippocampal function, learning and memory. Excellent written/oral communication in English. Ability to work effectively in a dynamic and collaborative research environment. Basic data science
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regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent
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, C++, MATLAB, and other relevant languages. Familiarity with medical imaging data formats (DICOM, NIfTI) and related software tools. Familiarity with any Monte Carlo simulation package (EGS, MCNPX
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design and assisting investigators with submission of manuscripts and/or grant applications. Establishes and manages an analytical pipeline for data analyses, and generate workflows in scripting language
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vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, etc. Excellent written/oral communication and organizational skills. Baylor College
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/oral communication in English. Ability to work effectively in a dynamic and collaborative research environment. Basic data science skills (Excel, statistics). Prior experience in one or more of these techniques: mouse