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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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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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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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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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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