730 algorithm-"Multiple"-"Prof"-"U.S" "NTNU Norwegian University of Science and Technology" positions at University of Michigan
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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fully understand exactly what ?done? looks like before we start the development of a project. Responsibilities* Develop cutting edge machine learning algorithms for various parts of the online system
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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(e.g. transcriptomics, metabolomics) Knowledge of machine learning/deep learning algorithms Knowledge of systems biology approaches (e.g. genome-scale modeling) Proficient with R, Python or MATLAB Modes
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Apply Now Responsibilities* Conduct research focused on designing and implementing algorithms related to cryo-electron microscopy (cryo-EM) data collection in a lab that focuses on the structural
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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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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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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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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