125 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at California Institute of Technology
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web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings We are an equal opportunity employer and all qualified applicants will receive consideration for employment
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contributions, they may be awarded co-authorship on scientific publications. Additional information about the Shapiro group can be found at http://shapirolab.caltech.edu . Essential Job Duties Animal Colony
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; 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
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-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
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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
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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
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archive services, and scientific vision to maximize discovery with observatories both in space and on the ground. For more information and activities, please visit IPAC website (https://ipac.caltech.edu
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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
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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
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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