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, and develop machine learning methods for synthetic biology. The LSRP will help with the execution of defined research projects by independently conducting experiments and analyzing data. Specifically
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experience with spreadsheet and word processing application. Experience or willingness to learn basic statistical methods. Degree fields desired include biology, biochemistry, bioengineering. EDUCATION
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, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. General computer skills and ability to quickly learn and master computer programs, databases, and scientific
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that every member of the staff has something to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives and collaborate with colleagues across
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maintaining computer programs. The School of Medicine's Department of Psychiatry and The School of Engineering Computer Sciences group at Stanford have collaborated over the last seven years to develop modules
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single-cell genomics, CRISPR perturbations, and machine learning to assemble regulatory maps of the human genome and uncover mechanisms of complex diseases. For more information and recent work, see https
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and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends
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gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general
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views as they integrate knowledge across disciplines. Small class sizes and synchronous class meetings populated by curious and engaged classmates and teachers make learning a meaningful and social
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in electrophysiology and machine learning, this project aims to create a functional "digital twin" -- a model that captures both the activity dynamics of the brain at cellular resolution and the