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) – String Theory, Topological Computation, Topological Materials, Quantum Geometry Prof. Moon Jip Park (Hanyang University) – Condensed Matter Physics, Topology, Non-Hermitian Systems, Statistical Physics
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multi-omic single-cell datasets, and developing novel statistical approaches to resolve repetitive element biology at high resolution. The successful candidate will operate at the interface
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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datasets (e.g., RNA-Seq, epigenetics, cancer genomics, or metabolomics). Statistical Knowledge: Strong understanding of algorithmic, statistical, and ontological concepts in biology. Communication: Excellent
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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-based screens, single-cell or spatial transcriptomics). Experience with reproducible research environments (e.g., Docker, Snakemake, Nextflow). Strong mathematical / statistics background At HT, your
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qualifications at the time of hire. ● PhD (or equivalent) in Computational Biology / Bioinformatics, Biomedical Informatics, Computer Science, Statistics / Biostatistics, Applied Mathematics, or a closely
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compliance with the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act , the University Police department at Florida International University provides information on crimes statistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
epidemiologic methods, causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental
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multimodal datasets including neuroimaging, behavioral, wearable, clinical, and longitudinal data • Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience data