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Field
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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function of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http://biophysics.chem.udel.edu ). The U.S. National Institutes
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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projects to develop, validate, improve, and apply analytical methods for the identification and quantification of metabolites relevant to chronic diseases using advanced mass spectrometry-based techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and qualifications. Proposed Start Date 06/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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fast-paced research environment and will be responsible for the development of novel research methods, will conduct experiments using in-vitro and in-vivo approaches, will perform project planning, data
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Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $69,073 - $82,836. Percent time
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
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or related areas must be provided prior to the commencement of employment. Expertise in immunological assays, molecular biology, gene transfer methods, and animal models is required. Certifications/Licenses
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 9 days ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic