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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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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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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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-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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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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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
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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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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and