Sort by
Refine Your Search
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
. The successful candidate will work on designing and training advanced deep learning models (e.g., U-Net, Vision Transformers) using multi-modal EO datasets (optical, radar, thermal, LiDAR) to generate high
-
machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue related exoplanet and stellar science. We
-
Veterinary Medicine ● Variant discovery and genome annotation: Apply deep learning and graph-based models to improve variant calling, transcriptome annotation, and functional prediction in veterinary-relevant
-
/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include
-
numerical research. Your primary research project will focus on Naturally-occurring Deep Eutectic Systems (NADES) and their low temperature behavior, but you will have some latitude to study a variety of
-
numerical research. Your primary research project will focus on Naturally-occurring Deep Eutectic Systems (NADES) and their low temperature behavior, but you will have some latitude to study a variety of
-
reconstruction (e.g., denoising and deep learning) and arterial spin labeling (ASL) imaging, as well as bio-statistician and clinical researchers, with an ultimate goal to overcome the existing technical
-
membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee
-
, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a
-
origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http