249 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML" positions at Harvard University
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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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"I Pledge" program and monitors patients needing lab testing. Keeps rooms adequately stocked being aware of each provider’s preferences. Competencies: Demonstrates the ability to obtain and document
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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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. Proficiency in electromyography (EMG) analysis and basic signal processing techniques. Strong programming skills in MATLAB or Python. Familiarity with IRB protocols, informed consent procedures, and human
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Environment Forum programming. Fellows will receive stipends of $70,000, medical insurance, additional research support of $2,500, and (for those not already in residence in Greater Boston) $1,500 in moving
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programming and communication skills. Experience in analysis of high-throughput sequencing data is highly desirable. Additional Qualifications Special Instructions Required documents: Curriculum Vitae Statement
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administrative and programming support to Faculty Deans. Faculty Deans are responsible for setting a tone for the House that is consistent with the College’s mission and, through personal example and the
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, for our excellent 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
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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/profile.aspx?facId=8943 Principal Duties and Responsibilities: Performing statistical analyses on large databases Designing and running experiments Programming simulations of theoretical models Proving