270 embedded-system "https:" "https:" "https:" "https:" "Cardiff University" positions at Boston Children's Hospital in United States
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Number: 151181511 Department & Position Summary: Immersive Design Systems (IDS) is a full-scale human-centered design lab for training, systems engineering, and rapid prototyping. Our ultimate goal is to
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Number: 150800452 Department & Position Summary: Immersive Design Systems (IDS) is a full-scale human-centered design lab for training, systems engineering, and rapid prototyping. Our ultimate goal is to
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& projects with a focus on continuous process improvement. Performs various administrative functions requiring basic knowledge of programs and services. The posted pay range is Boston Children's reasonable and
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Number: 151195851 Position Summary Dr. Timothy Springer is looking for a highly motivated and resourceful candidate for a Research Assistant I position in his lab. Research in the Springer lab uses
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immunological research in complex nonhuman primate models. Ensures excellent animal care and welfare. Dr. Kean's research program is focused on the immunology of hematopoietic stem cell transplantation, tolerance
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Number: 151479531 Position Summary/ Department Summary: The Ferguson laboratory (https://pinphd.hms.harvard.edu/people/brielle-ferguson ) studies how circuits in the brain support attention and how
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therapeutic modalities; previous pediatric psych experience a plus. Spanish language skills are a plus Licensure: MA LCSW, or LICSW is required. New hires are eligible for a $1,000 sign on bonus! *This position
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. Schedule: This position is at Franciscan Children's Hospital from 8a-12p on Monday - Friday. New hires may be eligible for a sign on bonus up to $15,000.00 Key Responsibilities Review and evaluate imaging
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in Nursing. Experience: 2 years of inpatient nursing experience. Experience in cardiac or telemetry is preferred. Pediatric experience is preferred. Licensure/ Certifications: Current Massachusetts
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seeking a Computational Research Assistant to support a research project focused on evaluating how clinicians interpret continuous glucose monitoring (CGM) data and how these interpretations compare