121 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at California Institute of Technology
Sort by
Refine Your Search
-
; the upcoming Cryoscope pathfinder in Antarctica; the upcoming Roman Space Telescope (the RAPID PIT and RISE WFS teams are led by Caltech) Stellar astrometry and spectroscopy with Gaia and Euclid Machine learning
-
very exciting and beautiful place to work, with its private club/country club environment and its upscale Hotel. For more information on The Athenaeum, please visit The Athenaeum’s website https
-
time off (vacation, holidays, sick time, parental leave, bereavement, etc.) , tuition reimbursement, and more. Learn more about our benefits and who is eligible . We are an equal opportunity employer
-
supervision. Eager to learn new techniques and methodologies. Problem solver, strong attention to details and organizational skills. Preferred Qualifications Master's Degree in related field. Experience in
-
, holidays, sick time, parental leave, bereavement, etc.) , tuition reimbursement, and more. Learn more about our benefits and who is eligible . We are an equal opportunity employer and all qualified
-
Qualifications Knowledge of Adobe products (Photoshop, InDesign) and Adobe FrameMaker (or willingness to learn). Production experience with AWS. Experience with configuration management, Git/GitHub. Strong Linux
-
observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets, ancillary data products, and documentation delivered by NASA's Infrared and Sub
-
machine shop equipment, such as lathes, mills, drills, saws, and grinders. Skilled in the use of precision measuring instruments such as micrometers, dial indicators, and gauges. Experienced with computer
-
, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.) , tuition reimbursement, and more. Learn more
-
-reviewed publications in areas of extragalactic astronomy that are synergistic with the functional work on NED. Experience with Machine Learning or Artificial Intelligence. Proficiency in Python, working