202 programming-"Multiple"-"U"-"Prof"-"O.P"-"FEMTO-ST-institute"-"UCL" positions at Harvard University
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credited to the Yang Visiting Scholars Program in World Christianity at Harvard Divinity School. Eligibility Positions are open to early career and senior scholars with doctorates in the fields of religion
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experience in modeling of atmospheric composition. Additional Qualifications Experience with the GEOS-Chem model and with inverse analyses, strong scientific programming skills. Experience with inverse
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intellectual leadership and impact in a field of study and teaching relevant to Australian Studies. Candidates who are qualified to teach in a department, degree program or field of study offered in the Faculty
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organizational abilities to manage multiple relationships, projects, and deadlines effectively. Collaboration & Teamwork: Proven ability to collaborate with cross-functional teams, including marketing, product
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such as India or South Africa, is highly desirable. Communication & Organizational Skills: Excellent verbal and written communication skills, with strong organizational abilities to manage multiple
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of publications, and a research proposal explaining research interests (no page limit). Please also provide contact information for three references. The CfA hosts a strong research program in
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participate in regular work-in-progress seminars. In addition, Fellows are strongly encouraged to participate in—and contribute to—the Center's programming, which includes public lectures, themed seminars and
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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of their time to their individual projects and to participate in regular work-in-progress seminars. In addition, Fellows are strongly encouraged to participate in—and contribute to—the Center’s programming, which
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi