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offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. BNL policy requires that after obtaining a PhD, eligible
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anticipated to focus on advancing imaging techniques within the lab and will provide a supportive role to other projects within the group. Individuals with engineering (biomedical and mechanical/materials
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other software tools Develop, test and implement data pipelines Required Knowledge, Skills, and Abilities: Required PhD in geosciences, computer science, engineering or related field Proven research
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to contribute to the research of imaging technology being developed for assessment of non-melanoma skin cancers. This position is full-time and on-site at the University of Arizona in Tucson, AZ. Outstanding U
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survival surgeries using intracerebral injections of AAVs and intracardiac perfusions. • Dissect and prepare brain samples for imaging and biochemical analyses. • Conduct standardized techniques (e.g
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be organized in accordance with the applicants’ interests and expertise, but will broadly be related to the neural mechanisms underlying the cognitive control of movement and non-motor processes
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AML using CDX, PDX, and genetically engineered mouse models (GEMMs) Perform in vivo imaging, tissue harvesting, flow cytometry and molecular analyses Maintain detailed experimental records and rigorous
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, assembled to address challenges facing scalable quantum computing and provide breakthroughs to strengthen U.S. leadership in quantum information science and technology. The C2QA scientific mission is to
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Researcher to join our interdisciplinary team in the Department of Electrical and Computer Engineering. This role focuses on developing and applying label-free imaging techniques, designing cutting-edge optics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis