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administrators. Approves salary distributions, cost transfers, and additional compensation transactions. Serves as primary contact for institutes and centers regarding all financial aid issues; in coordination
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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural
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pipeline to evaluate the accuracy of deep learning algorithms. Apply deep learning models to analyze large-scale molecular and cellular datasets related to high risk model of schizophrenia generated in our
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teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic
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to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and
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Computational Systems Biology and Bioinformatics. The research will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods
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distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) – Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and
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support for the entire array of Core programming events including scheduling regular and electronic classrooms, and distributes information and publicity materials as directed. Assists with the acquisition
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are in line with University policies and procedures. Monitors timekeeping, attendance, and workload distribution. Participates in the performance evaluation process. Ensures compliance with university
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) disseminate results through quality publications and open-source algorithms and software. Qualifications: Ph.D. in Computer Science/Engineering, Biomedical or Electronic Engineering, Data Science, Biostatistics