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Architectures of Spontaneous versus Precipitated Opioid Withdrawal: Self-Exciting Point-Process Models of Continuous Home-Cage Behavior Across Genetically Diverse Mice. The project encompasses building behavior
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biomarkers and therapeutic targets that can guide future clinical interventions for substance use disorders. PROJECT 2. Distinct Temporal Architectures of Spontaneous versus Precipitated Opioid Withdrawal
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems