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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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: Position 1: Postdoctoral Associate – Software Engineering & Technical Development Proficiency in Python, geospatial libraries, API design (e.g., FastAPI), and cloud/HPC environments. Experience with
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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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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. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Adobe Creative Cloud, Analytical Thinking, Audience Engagement, Curriculum Development, Database
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine
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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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), Transformer-based modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required