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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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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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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
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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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opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible
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with innovative modeling methods and data analytics methods and spur cross-discipline development between the team in both water resources and computer science. Specifically, the research projects
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research
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Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling
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the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance