201 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Zintellect
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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exposures to blast. For more information about WRAIR, please Army Home . About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department
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environments Participating in the use of simulation technology, data driven decision making, and engineering principles for medical equipment Where will I be located? Cincinnati, Ohio (Remote participation may
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of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department
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insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications Applicant should have completed a bachelor's
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ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will be currently pursuing a master's degree in
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-hand the formulation and testing of data-driven hypotheses. Collectively, these experiences can translate into opportunities for furthering a research-based career. Appointment Length This appointment
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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, evaluating performance and resilience of controllers, cyber-physical system modeling and state estimation, and anomaly detection techniques using phasor measurement unit data and machine learning/artificial