111 assistant-professor-and-data-visualization Postdoctoral positions at Stanford University
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Conduct immunostaining and immunofluorescence microscopy Perform animal eye surgeries and assist with animal care and management Design and analyze experiments using patient model-based assays Prepare and
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. Proficiency in molecular biology techniques such as DNA/RNA extraction, PCR, cloning, protein analysis, Sequencing. Familiarity with omics data analysis relevant to microbiome-host interactions. Experience
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upon our prior pollutant data measurements in homes and commercial kitchens (e.g., https://pubs.acs.org/doi/10.1021/acs.est.1c04707; (link is external) https://pubs.acs.org/doi/10.1021/acs.est.2c09289
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dynamics, delivery, efficiency, specificity and cellular responses.Experience with advanced techniques such as next-generation sequencing. Interpret experimental data, including molecular and cellular assays
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embryo development. The annual salary starts from $73,800, dependent upon skills and previous experience. For more information, please contact Dr. Matteo Molè at mmole@stanford.edu (link sends e-mail
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trajectory, research, work experience, publications, presentations, teaching, and other professional experiences, along with your full legal name, contact information, and (expected) date of Ph.D., which must
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published academic article. Contact information for three references. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion
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the following documents in a single PDF file: Cover letter summarizing your research interests and qualifications. CV including a list of publications and research projects. Contact information for 2 references
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productivity, and the ability to work both independently and collaboratively in a multidisciplinary environment (involving clinicians, computer scientists, and statisticians). A strong background in
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. Responsibilities: As a member of the lab team, you will bring your knowledge to the group and learn protocols / standard operating procedures, conduct experiments, analyze data, assess literature, and prepare