1,100 data-"https:"-"https:"-"https:"-"https:"-"I.E"-"UCL" Postdoctoral positions in United States
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to support clinical trials, such as development of standard operating procedures, data management, study implementation. Design and implement statistical analyses for ongoing and new research studies. Develop
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experience in either one of those two topics). The data/samples for these projects are “shovel ready” and await a curious researcher to develop high-impact publications that inform and enrich our knowledge
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Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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education, quantitative methodology, or related fields (can include time during graduate-level training). • Experience with data analytics and scientific writing skills as evidenced by rigorous scholarship
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar-1 Department: Medicine
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Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch