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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
include but not limited to the following: Developing the radiative kernel approach to study different feedbacks in the climate system. Investigating the coupling among clouds, sea ice and ocean in the polar
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the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Adobe Creative Cloud, Analytical Thinking, Audience Engagement, Curriculum Development
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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Equipment Utilized High-performance computing; cloud computing; local workstations. Physical Demands and Work Environment Work will be performed in an office setting. Applicants must be physically capable
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
surface, aerosols, clouds, and climate change. In-house capabilities include design and development of novel airborne instruments for aerosol, cloud and trace gases systems. For the past year, we hosted a
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud