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department that is recruiting faculty-level scientists and engineers specializing in the development of novel imaging technologies. Our goal is to drive technical innovation that will accelerate scientific
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experiments, as needed. Responsibilities include assisting with animal preparation, surgery, imaging, and other associated procedures. Data analysis (20%): The researcher will generate visualizations of imaging
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of the department and institution. Prior experience with research finance, grant preparation and grants management, part icularly in technical biomedical areas including imaging and technology development
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Responsibilities: Autonomous Science and Engineering Leadership Lead design and operation of end-to-end autonomous experimentation workflows across SPEED’s robotic laboratories. Translate scientific goals
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to have advanced knowledge and experience in operation of an array of imaging paradigms for optical characterization. In addition, the incumbent must be familiar with ultrafast laser based spectral imaging
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(PCB) assembly, test setup, and operation of prototype and flight electronics. SRL provides a dynamic and inclusive work environment that emphasizes teamwork in pursuit of scientific discovery. SRL, part
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activities involving tours, presentations, and open houses Engages in professional development to stay current on emerging research and technology in relevant field Other duties as assigned Knowledge, Skills
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the department's other cores and planned technology dissemination activities. Position Overview: The Imaging Sciences Fabrication and Design Core Director for fabrication and instrumentation will work with
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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radiation in fields such as ultrafast spectroscopy, imaging, materials science and semiconductor research. HHG Beamline User Operation Actively participate in the preparation and execution of user experiments