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nuclear and particle-physics experiments Experience with data analysis and knowledge of statistical techniques for data analysis Experience with computing and software for high-energy or nuclear physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
are looking for a post-doctoral fellow to lead the computational analysis and interpretation of these data to further understand the molecular basis of this disease. In particular, the candidate will lead our
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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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, & creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work collaboratively with research teams and people with
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms & validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography
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graduate students and staff. Analysis and write-up of papers from already collected-data, involvement in grant proposals, and other duties as assigned. Salary Range: Base pay is commensurate with experience
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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: 256443 Minimum Education and Experience: This position requires a PhD (or other doctoral degree) in education, public policy, social work or related field. In addition, it requires: Strong data analysis
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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interpret figures, and presentations (oral/poster). Contribute to manuscript preparation, grant proposals, and dissemination of research findings at national and international conferences. Data Analysis