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- Zintellect
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Field
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Scheduled Hours 40 Position Summary We are seeking a highly skilled and motivated bioinformatician for the Division of Anatomic and Molecular Pathology in the Department of Pathology and Immunology
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). Contribute to image processing and algorithm development to support the identification of novel biomarkers and disease phenotypes. Write clean, efficient code primarily in Python and work with Bash/Slurm
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using supervised and unsupervised machine learning/deep learning techniques for various research applications. Design and implement NLP algorithms and techniques for text preprocessing, feature extraction
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers
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reduction) to extract meaningful insights from multi-modal data. ● Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. ● Conduct
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strategies and algorithms to uncover those connections. Demonstrated ability to conduct and/or support pre-campaign assessments, including feasibility studies, pool assessment and preliminary gift pyramids
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to identify nontraditional connections and creatively use search strategies and algorithms to uncover those connections. Demonstrated ability to conduct and/or support pre-campaign assessments, including
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leadership through the full project life cycle, helping teams stay on track, resolve obstacles, and maintain high performance. Assist PLs in creating and maintaining project schedules, milestones, and
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experience and plans lie at the forefront of areas such as quantum computing, quantum algorithms, quantum simulations, and quantum error correction. Predominant research activities of the selected candidate
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implementing weather and climate observations, numerical modeling, machine learning algorithms, and decision support tools focused on atmospheric, land-surface, and hydrologic conditions related to extreme