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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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circuits and electronics integration. It is desirable that the candidates have sound knowledge in statistical analysis of device output and have experience with failure analysis. The role holder will work
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circuits and electronics integration. It is desirable that the candidates have sound knowledge in statistical analysis of device output and have experience with failure analysis. The role holder will work
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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly
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: - participate in knowledge mobilization - Literature reviews and data analysis for TRANSFORM research project - Participate in regular project meetings on planning and research generation Qualifications
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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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. Laboratory and Field Testing: Evaluate sensor performance in laboratory settings and conduct field testing to validate sensor functionality. Data Management and Analysis: Compile and analyze experimental data
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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triggering and exacerbating disease processes. Within MICRO-PATH, the Systems Ecology group at the LCSB has an immediate opening for a highly motivated and talented doctoral candidate to work on the resolution
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Temporary Staff (SHRA) Position Title Research Assistant - Goode Lab Position Number 20060071 Vacancy ID S025506 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Schedule to be