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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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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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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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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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calibration schemes. The successful applicant is expected to take a leading role in the development of the event reconstruction algorithms for the new generation detectors, take part in detector performance and
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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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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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supervised and unsupervised community detection algorithms and work on developing age specific templates for supervised algorithms. Develop analysis strategies for task based responses in infant functional
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Social Determinants of Educational Attainment of Adolescents (Dr. Xiaoran Sun and Dr. Juan Del Toro) Evaluating the Performance of Causal Discovery Algorithms (Dr. Erich Kummerfeld, Dr. Sisi Ma, and Dr