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an interdisciplinary and interactive environment, fostering the pursuit of innovative research. To qualify, applicants should currently be in the process of either completing their PhDs and/or have received their PhD
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or related field with 4+ years' experience or PhD in Statistics/Biostatistics or related field Effective verbal and written communication skills Understanding of broad statistical theory and its application
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years or equivalent PhD/PharmD/MD - 9 years or equivalent Extensive knowledge of ICH GCP and regulations in order to assess GCP situations and coordinate resolution activities across partner lines. Expert
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://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or closely related field and 0-3 years of postdoctoral research/fellowship
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related field is required. Applicants should have a minimum of five years of professional experience in urban planning and policy or a PhD in planning or a closely related field. Experience in teaching is
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The Department of Biostatistics at the Harvard T.H. Chan School of Public Health has an immediate opening in the Center for Biostatistics in AIDS Research (CBAR) for a PhD-level Research Associate or Research
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development, growth, and execution of the Institute's educational programs, including the Quantum Science and Engineering PhD program and undergraduate programs. • Help coordinate and write grant proposals
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://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or closely related field and 0-3 years of postdoctoral research/fellowship
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to serve the chemistry clients. Learn the SMT sourcing support process. Qualifications Must-Have Strong background in Synthetic or Medicinal Chemistry is required (PhD in Chemistry with 0-3 years
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/Biostatistics or related field with 8+ years' experience or PhD in Statistics/Biostatistics or related field with 5+ years' experience in clinical trials Understanding of broad statistical theory and its