1,095 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" Postdoctoral positions in United States
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QUALIFICATIONS Education: Ph.D. in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze
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Posting Details Position Information Posting Number PG191609PD Position Number 00111826 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140401 - Electrical & Computer
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science
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. With this data we have the potential to understand the immunological mechanisms of vaccines and to accelerate efforts to improve their efficacy and get them to the clinic. Qualifications MINIMUM
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data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work
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and quantitative data, and analyzing those data. The postdoctoral research associate will also have opportunities to publish emerging findings from these research studies. In addition, within this role
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collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency