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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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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