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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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.) and proficiency in data analysis software (such as R, Mplus, SPSS). Extensive experience interpreting research data and summarizing findings via written reports and oral presentations. Strong record
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psychological change processes. The lab develops and uses novel longitudinal methods to articulate and examine how individuals change over time (and with age), and how various individual characteristics
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and assessment, to take a lead role alongside faculty and lecturers to augment and integrate quantitative skills practice across core undergraduate Bioengineering courses. The Engineering Education
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior
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(link is external) https://hai.stanford.edu (link is external) https://nlp.stanford.edu/ (link is external) How to Submit Application Materials: To apply, please complete the application form (link is
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solutions that can implemented in clinical settings to improve the quality of care for children and adolescents with mental health challenges. The scholar will create, test, deploy, evaluate, and publish
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of molecular biology. The successful candidate will have access to close mentorship, fantastic resources and will be surrounded by a world-class collaborative scientific environment. Outside of the lab, life in
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experience in spinal cord injury unilateral C6 contusion model, behavioral tests, hiPSC cell culture, stem cell differentiation, hiPSC-derived cell spinal cord transplant, RNA Sequencing, viral approaches
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with Heidelberg University for candidates interested in being based in Germany. Part-time and remote working options are possible; on-site at Stanford or Heidelberg are of course welcome, too. This is a