1,130 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" Postdoctoral positions in United States
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expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation. Strong foundational knowledge of pediatric health and clinical
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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supporting nationally significant energy finance initiatives while developing professional skills in research, analysis, and supporting federal program operations. For more information, visit Energy Dominance
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of expertise. Assists with the preparation and cleaning of worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Mentoring May assist
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-system data, simulation platforms, and digital-twin or real-time environments as appropriate. Collaborate with researchers across power systems, controls, cybersecurity, and AI/ML to develop publications
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expectations. Contact Information to Applicants Stuart Macdonald (785) 864-5362 sjmac@ku.edu Additional Candidate Instruction A complete online application will include the following: CV/resume a description of
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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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 NRSA Department: Health
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on conduction system diseases. To identify these pathways, the postdoc will analyze and integrate data from mouse models for different diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural