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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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technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care
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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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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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the original audio tape. This process of verification occurs before the written text is used to train our augmented intelligence coding algorithms. De-identified transcripts and audio tapes will be accessed
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, including Ph.D. students and post-doctoral research fellows, and will have opportunities to contribute to new algorithm developments. Applicants should possess a Master's degree or higher in Bioinformatics