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Field
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. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration of Software Defined
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/Qualifications Interest in mathematical analysis of approximation algorithms. Preferably practical experience in programming (not mandatory) Interest in teaching in our Data Science program (experience desired
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. Contribute to fundamental challenges in seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including
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Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist – Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and
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algorithms Improve performance through tuning the GPU code Document, test, and debug revisions of the software for release Coordinate conversion of LM states of cells into coarse-grained atomistic
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learning algorithms for the design of nanophotonic structures, Contribute to publishing results in scientific journals and national and international conferences, Working alongside principal investigator
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Responsibilities: The Research Associate is responsible for Formulating new algorithms for sampling from conditioned SPDE models Developing a mathematical theory showing their correctness and reliability Find
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Scalable Inference: Develop new algorithms for scalable uncertainty quantification (UQ) and Bayesian inference and apply them to challenging simulation problems. The goal is to produce robust, validated
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, computer vision, graphics and visualization, systems, distributed algorithms, and scientific and biomedical computing. Research in the department is and has been funded by numerous agencies, including
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courses on data mining, algorithmic bias, data ethics, and critical data studies. Intermediate and upper level courses could include modeling and simulation, data analytics for spatial analysis, geographic