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Field
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of computational tools for analysis of omics and/or live-cell imaging data. Fluent oral and written communication skills in English. Desired qualifications: Experience with software development and programming (e.g
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, coding pipelines for optical imaging/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in
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-on experience in at least one of single-cell or spatial omics, imaging, or other high-dimensional biological data types. You interrogate existing literature critically, design rigorous experiments and deliver
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 369134 Location Austin Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0325-NPP-NOV25-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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preferred. Other Qualifications Essential Duties and Responsibilities Key responsibilities include assisting in experimental design and coding of stimulus presentation (e.g., using MATLAB/psychtoolbox
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial