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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b
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Posted on Wed, 11/20/2024 - 06:19 Important Info Faculty Sponsor (Last, First Name): Fang, Rongxin Stanford Departments and Centers: Neurosurgery Genetics Postdoc Appointment Term: 1 year with
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks. What do we offer? A creative and inspiring environment full of expertise and curiosity
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that the annotation models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms, models, annotations, and ultimately the data is made
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-user requirements and specifications. Design algorithms and flowcharts to create new application software programs and systems. Produce efficient and elegant code based on requirements. Test and deploy
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of this position are to: (i) develop novel mathematical/computational algorithms, biogeochemical models, or other mathematical frameworks enhanced by big microbiome data analysis; (ii) design and develop
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construction and visualization of pangenomes for crops with large genomes Summary: Pangenomes are highly relevant for grains RD&E pre-breeding research because they capture the full spectrum of genetic diversity
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are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital