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mission by developing and applying advanced analytical and experimental approaches to address complex interdisciplinary environmental and infrastructure challenges relevant to NH. The postdoc’s work
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and
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evolutionary genetics/genomics, specifically using genomic approaches to analyze introgression, clonal diversity, and/or host-symbiont associations. ● Experience developing, scaling, or maintaining workflows
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on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer
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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: · Developing novel AI/ML methods to improve the accuracy, reliability, and validity of downstream statistical inference
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, data collection, data analysis, manuscript preparation, grant writing, scientific presentation, and overall career development. The post-doctoral associate will be expected to lead projects and
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: Demonstrated experience in method development for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. Experiences in day-to-day instrument maintenance and developing safety protocols. Experience
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researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved