544 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Harvard University in United States
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Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling
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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Job Summary: The
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electrophysiological data analysis, while contributing to impactful translational research. Key Responsibilities Support the design and execution of a clinical trial focused on muscle-driven robotic technologies. Assist
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reports Manage, preprocess, and analyze electronic health records, administrative claims, and national survey data Participates in development and implementation of population-level disease simulation
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scoring that support data-driven fundraising strategies. Ensure integration of research outputs into advancement systems for broad accessibility and strategic use. Leadership & Team Development Recruit
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reviewing care received outside HUHS, laboratory data, secure messages from HUHS care providers and from the patients themselves, and ordering tests as needed to ensure maintenance of health and appropriate
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background in the visual arts and/or design is looked upon favorably. Special Instructions Please submit a CV and up to three examples of first author papers, as well as the contact information of no less than
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innovation; and open communication and effective information sharing in our daily interactions and our work. AA&D is comprised of the Faculty of Arts and Sciences (FAS) Development, Communications, Events
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the following materials with your application: (1) Curriculum Vitae (2) Application letter (3) List of 3 references (4) Writing sample Contact Information Applicants may contact the Office for Academic Affairs
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity