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innovative Staff Research Scientist to lead project-specific research in the field of machine learning for chemistry. The successful candidate will supervise research projects involving wet lab experiments
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comprehensive capabilities in conducting sophisticated fluid dynamics data analysis. This job includes aerospace-related machine learning algorithms. Specific duties include data analysis from wind tunnel
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++ or Python), controls, machine learning/AI, space systems, or robotics. Ability to adapt to new fields to learn new skills in support of a plethora of exciting projects. Preferred Qualifications Practical
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excellent problem-solving and debugging skills. An ability to learn quickly and adequately transfer that knowledge to others through teaching/documentation. A desire to meet – and set – high standards
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requests, forecasts energy use, and detects anomalies in campus systems. This role offers a hands-on opportunity to build machine learning models grounded in real operational challenges and to contribute
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the Technician will work closely. The Technician will be expected to take ownership of equipment by both learning how to operate it at peak performance and by administering the types of maintenance and alignments
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hardware (i.e., phone, tablet, computer). Ability to learn and use various software programs. Experience compiling and uploading NIH and NSF proposals to grants.gov. Required Documents Resume Cover Letter
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, WA and Baton Rouge, LA, as well as campus R&D centers in Pasadena, CA and Cambridge, MA. This position is a fulltime in-person role located at LIGO Hanford in Richland, WA. To learn more about LIGO
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engineers to develop and deploy machine learning applications to accelerate science discoveries in multi-messenger astronomy. In particular, the position will focus on data from the Zwicky Transient Facility
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an enthusiastic and creative electronics team within the multidisciplinary Optical/Infrared (OIR) Instrumentation group. While fostering a community of respect, learning, and individual growth, the OIR