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the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics and genomics. We are developing and applying tools to understand how
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to the development of an implementation setting for alignment methods for complex PA processes interacting with data objects. These methods should take inspiration from algorithmic techniques developed in data-aware
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to address major scientific problems. The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina
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image motion algorithms for a visual prosthetic. She received her doctorate in electrical engineering from Stanford University focusing on neural prosthetics and the brain control of healthy, naturalistic
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. Sensors such as thermal sensors, smoke detectors, optical sensors, and others can provide various types of data necessary for intelligent algorithms that detect the presence of fire. One of the challenges
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(including Pandas, Sci-kit Learn, OpenCV, PyTorch), R, SQL, HTML/CSS, C, STATA Coursework in Machine Learning, Algorithms/Advanced Data Structures, Data Science, Probability, Data Graphics and Visualizations
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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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. 4. Development of optimization models for EV management, including operational cost minimization, intelligent charging coordination, implementation of predictive models, and development of algorithms
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EVALUATION CRITERIA The selection will be based on the following criteria: Academic record – 40% Past Experience in algorithm optimization - 30% Past Experience in research and industrial projects – 30% Each