Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours 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
-
simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
-
an interest in how psychological theory can improve synthetic data and in deepening our understanding of when and why LLM-generated responses approximate human behavior. The project involves a collaboration
-
forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience
-
proteins in non-bilaterian animals (sponges, placozoans, cnidarians, ctenophores). The ideal candidate will have a background in biochemistry, cell biology, or evo-devo, and experience applying these methods
-
of neurodegeneration. Practical experience with C90rf72 genetic models in Drosophila. Preferred Qualifications: Use of Gal4 and Gal80 methods in Drosophila. Q-RT-PCR. Brief Description of Duties: | The Postdoctoral
-
statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
-
of neurodegeneration. Practical experience with C90rf72 genetic models in Drosophila. Preferred Qualifications: Use of Gal4 and Gal80 methods in Drosophila. Q-RT-PCR. Brief Description of Duties: | The Postdoctoral
-
analytical methods and digital capability for data consumption, organization, validation, storage, and classification of electronic health data. Job Duties Develops analytical methods and digital capability
-
will work closely with Drs. Audrey Hendricks and Ryan Layer as well as grad students, postdocs, and other collaborators to develop and implement statistical and machine learning methods, software