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using top quark identification. These physics interests will influence the benchmark studies to be performed to assess the performance of the upgraded system. Some level of physics analysis will also be
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research activities, you will contribute to ongoing projects within the Brightlands Future Farming Institute (BFFI) and collaborate across disciplines in areas such as data acquisition and analysis
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calling, annotation Perform rare-variant and association analyses across patient cohorts Integrate genomic data with single-cell, spatial, and other omic datasets Develop and maintain reproducible analysis
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
application of the estimators to address measurement issues arising in clinical HIV cohort data, surveillance data, and other data sources as needed. Minimum Education and Experience Requirements PhD in
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human participants performing decision-making or cognitive flexibility tasks, including hands-on expertise in data acquisition, preprocessing, and analysis. Demonstrable experience in directly comparing
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Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis and data visualization techniques