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learning and artificial intelligence, data-driven methods in scientific computing, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications
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Responsibilities Show excellent communication with the PI and laboratory personnel. Experience using standard bioinformatics tools, packages, algorithms, and databases to analyze high-throughput genetic, genomic
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, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and
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, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law. To apply, please visit: https://apply.interfolio.com
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, scientific computation, scientific software and algorithm development, mathematical modeling, data analysis and inference, and image analysis Ability to do original and outstanding research in computational
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, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law. To apply, please visit: https
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, genotypic, biological scale, phenotypic and population level data of several categories, structured, semi-structured and unstructured data. Non-structured data includes genetic, text, images, and “messy