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Field
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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will support various aspects of ongoing research projects, including data collection, analysis, and the development of BCI technologies. This position offers an exciting opportunity to contribute
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to educational excellence and developing and sustaining premier research programs with national and international recognition. The Department invites applications for multiple non-tenure track positions as an
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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Most of chemical products consist of multiple compounds that are formulated together, of which the development process is iterative, laborious, and complex. The formulated products sector
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and phone calls etc. to review post-acute
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved