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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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Scalable Inference: Develop new algorithms for scalable uncertainty quantification (UQ) and Bayesian inference and apply them to challenging simulation problems. The goal is to produce robust, validated
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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care and develop strategies to improve care delivery. Since its inception in 2008, the consortium has developed policies, procedures, and the technical infrastructure required to conduct multicenter
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, queues, and pointers in the implementation of algorithmic techniques including recursion, divide and conquer, and dynamic storage management. Graded ABCDE SWE 535 - Software Architecture and Design
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. Specific responsibilities include developing and testing spatial light modulator technology, developing a optical tweezer trapping setup (incorporating acousto-optic modulators, deflectors, and SLMs
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, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards.\ Communicate with nursing units regarding