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Development of magnetism-based future electronics is fueled by demand for large memory capacity and high data processing rates. New technologies such as hard drives with bit-patterned media and magnetic memory
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, spreadsheets, etc.). Ensure data integrity and consistency across platforms. Analyze large datasets to identify trends, patterns, and anomalies. Perform exploratory data analysis to support business inquiries
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 5 hours ago
. MPIA scientists are involved in high-performance computing, the analysis of large data sets and instrumentation. For the professional support of the scientific, technical, and service departments we
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data by setting up and entering data, pulling reports, and assisting faculty and students with questions. This position provides administrative support for awards which includes collecting and submitting
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and retention of first-year students. Assists Program Manager with large-scale programs and targeted retention initiatives including communication efforts for case management of student participants
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traditional functions which have academic significance (ex. reporting initial student participation data and submitting final grades on time). Cultivates an environment of belonging that values, respects
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administrative support in the Human Resources office for the College of Science. This position plays a key role in ensuring efficient HR operations for a large college within a research-intensive (R1) institution
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computing capabilities to enable research at scale - from the processing of large, complex data sets to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are
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to or even much larger than the total sample size n. We refer to such “large p, small n” data as high-dimensional data. An enduring interest in statistics is to compare the covariance matrices of two high
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the schools of the health sciences. The candidate will work with other team members and research groups to design pipelines for data ingestion/transformation and implement the designs and execute them