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Field
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dementia or Alzheimer's disease research. (Preferred) Experience developing disease identification algorithms or prediction models. (Preferred) Knowledge of longitudinal data analysis, survival analysis
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-on learning and research opportunities. The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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the development of retrosynthesis and/or tree search algorithms. 3. Experience in the curation and analysis of reaction datasets 4. Experience in development of models that predict the function of enzymes using
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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through evaluation and problem assessment. Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address complex scientific problems. Enhance and
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involves a research project with a focus on computational genomics, and they will work on methods development for somatic mutation analysis using genome sequencing data. This role involves research
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and controls, automation, and/or robotics Demonstrated experience in developing and implementing advanced controls and sensing algorithms Demonstrated ability to work both individually and as part of a
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system. Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of digital engineering and digital
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt