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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
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platform to accelerate the genetic gain and germplasm development. Job description: We are seeking a Post-Doctoral Fellow specializing in Plant Phenotyping using Image Analysis. The successful candidate will
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University of Illinois at Chicago, Department of Biochemistry and Molecular Genetics Position ID: 3556 -POSTDOC [#26261] Position Title: Position Type: Postdoctoral Position Location: Chicago
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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, establish advanced manufacturing routes for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy