234 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" positions at Harvard University
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, Biochemistry, or similar field preferred. General interest in basic science research. Additional Information Term: This is a one-year term position from the date of hire, with the possibility of extension
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model
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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
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, managing staff and contractors, analyzing data, writing grant proposal and reports, presenting at conferences and webinars, etc.). Key Duties and Responsibilities: Lead day-to-day operations of Mobile Health
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, including with the T.H. Chan School of Public Health, Law School, Business School, and Faculty of Arts and Sciences. Additional Information: This is a full-time position that will combine the directorship and
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communications and information for assigned sports. Promotes positive branding, press coverage, strategic communications, social media, multimedia and messaging to various constituents, using a variety of
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photography to support HLS editorial projects. Translate data-driven insights into content recommendations and work in partnership with the social media manager and larger digital team to develop ways
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education is a plus, but not required. Additional Information Standard Hours: This is a 40 hours/week, overtime eligible position. Expected Offer Range: $65,000 to $68,000 annually, commensurate with
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in