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Field
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computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications
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protein samples optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate
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computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications
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datasets Develop computational pipelines using R/Python Collaborate with clinical teams Prepare manuscripts and contribute to grant applications Mentor students and research staff Other duties as assigned
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computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications
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scientific principles and expert-level knowledge in fields related to the research project. Proficiency in data analysis and quantitative modeling using R and/or Python . Experience with PK-modeling
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field, completed by the start date or with the defence scheduled this year. Strong applied machine learning skills and fluency in R and/or Python Experience with intensive longitudinal, sensing, or other
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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analyses (including Mendelian randomization and mediation analysis) to identify disease mechanisms Evaluate pipeline and signature performance; prepare written and code-based analytical reports (Python or
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pipelines in MATLAB , Python, R, or similar platforms for electrophysiology processing, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical