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core facilities offering a wide variety of basic and advanced light microscopy techniques to several hundred local, national and international users annually. Specific tasks Develop and apply different
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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the specific characteristics of different sectors (services, manufacturing, finance, health, etc.) and types of companies in order to refine the recommendations. Design and development of an AI recommendation
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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academic year. Tenure-track faculty normally teach 2 different courses, with each section typically consisting of 22-28 students. Faculty is required to conduct research, provide high quality teaching and
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difference not only in the lives of our faculty, staff, and students, but also those who are impacted by our first-class academic and research programs. UT Austin provides outstanding employee benefits and
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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optimization, using models to test the effectiveness of different courses of action. In addition, the Data Scientist 1 uses a variety of data mining and analysis methods, using a range of data tools, building
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for achieving the desired mechanical and functional properties of the final structures. Unlike conventional DIW systems or the recently developed FL3DP technique that operate on fixed Cartesian coordinate with a
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networks have embraced new frequency bands in order to meet increasing user throughput demands. In the cellular world, frequency ranges (FRx) have been defined, corresponding to different carrier frequencies