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sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms
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9791ED Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) Affect, Cognition, and Computation (ACC) Lab seeks a
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nuclei related to deep brain stimulation surgery. Responsibilities: • 25% - Work with members of the Harel lab to develop code for deep learning algorithms • 25% - Write Python code for data augmentation
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include (but are not limited to) AI/ML accelerator design, application of AI/ML for chip design and verification, domain-specific computing, heterogeneous architectures, hardware-algorithm co-design, and
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or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses
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will have the following responsibilities: 70% - Develop or integrate novel statistical methods and algorithms for analyzing large-scale data. 10% - Identify and integrate new, cutting-edge molecular
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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application of machine learning (ML), AI, and data science algorithms for physics research projects and applications and interfaces for ML and AI algorithms in physics analysis code. 20%: Contributing
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. Responsibilities revolve around three primary functions 1) team leadership, 2) project execution - maintaining project scope (program and University-wide), schedule, and budget, while mitigating risk, and 3
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the goal of making data useful for program improvement and decision making Manage and keep an inventory of the division’s assessment tools and third party-services In partnership with the marketing and