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candidates will be interviewed in February/March 2025. Stanford deeply appreciates the value of a diverse, equitable, and inclusive community, and defines diversity broadly to include (among other things
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(broadly defined, from school to the workplace). Demonstrates excellent written and verbal communication skills and use of rigorous, innovative quantitative and/or qualitative methods of analysis. Is
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be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication, working together with student collaborators. Teaching is
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excellent benefits and competitive salaries. Support is available for 1-year appointment with renewal up to 3 years of training and includes: Tuition, books, and software; Research-related costs; Conference
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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uniquely cross‑disciplinary team and work closely a network of collaborators. • Jan Zimmermann — University of Minnesota • Aaron Batista — University of Pittsburgh • Kimberly Stachenfeld — Columbia
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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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: 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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related to protein homology modeling, ligand docking and drug design to develop the next generation of safer anesthetics. Specifically, this individual will initially be an integral developer of a large
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Qualifications: • Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field. • Strong quantitative and analytical skills, with proficiency in statistical software