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-project comparison. Supporting this program—and this position—are NIH awards under NIMH’s priority initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT
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service" commitment. Strong inventory management systems experience. Strong computer skills with applications like Microsoft Excel. Strong written and verbal communication in English. EDUCATION & EXPERIENCE
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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Appointment Term: One year, with option to extend by mutual agreement Appointment Start Date: As soon as possible Group or Departmental Website: https://med.stanford.edu/pedcriticalcare.html (link is external
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or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit Application Materials: Please apply through the following form: https://forms.gle/1vic3xFvaBt8qsRw7 (link is external
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; create reports, review and explain trends; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the research program Co-design sensing methods and protocols with
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or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the
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. Strong interpersonal and telephone communication skills. Demonstrated computer proficiency. Data entry experience. Must be able to understand and apply policies, procedures and protocols of the university
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that the postdoctoral fellow is able to establish some projects for subsequent publication or contribute to the creation of a new research program. The postdoctoral fellow will contribute to one or more of the projects
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key