186 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at University of Minnesota
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Previous Job Job Title PhD Candidate TA - NSC 5661 Next Job Apply for Job Job ID 369157 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
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Previous Job Job Title PhD Candidate TA - NSC 5461 Next Job Apply for Job Job ID 369156 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
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Previous Job Job Title Research Assistant or PhD Candidate Research Assistant Next Job Apply for Job Job ID 369568 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time
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%-100% effort. Qualifications All required qualifications must be documented on application materials. Required Qualifications PhD in Biomedical Eng., Computer Science/Eng., Electrical Eng., Math
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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document algorithms to detect and quantify disease-relevant patterns. • Contribute to both in-house and open-source software initiatives. Research Communication & Collaboration (20%) • Assist with
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization