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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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investigating gene-environment interactions, chemical susceptibility, and effects of exposure on evolutionary processes with a focus on emerging contaminants such as PFAS. Research integrates Caenorhabditis
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking motivated postdoctoral candidates to advance
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University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
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and evolutionary biology or a closely related field. Experience with computational analysis. Experience in assembling and analyzing short-read data (e.g., Illumina) or long-read data (e.g., Oxford
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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ongoing projects. 80% Research and data analysis Design and conduct research in genetics, genomics, or molecular biology, with a focus on complex trait genetics, gene expression regulation, or evolutionary
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures