1,067 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"St" Postdoctoral positions in United States
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Field
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visiting scholars, foster intellectual exchange, and mentor talented graduate and undergraduate students. Opportunities to Contribute Research in theoretical high energy physics. Analyze data and publish
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cryogenic characterization equipment. Experience in data analysis, automation of measurements control and data acquisition using common software packages. Demonstrated experience in writing of scientific
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skills are expected. This position requires a PhD. To apply, candidates should submit a cover letter, curriculum vitae, and contact information for three references to Professor Tai-ping Sun, email address
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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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the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further information about the lab can be found at www.princeton.edu
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, biomedical sciences, or a related field Knowledge Skills and Abilities: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar in Pharmacoepidemiology
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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