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Field
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a Ph.D. degree in Aerospace Engineering or a related discipline by the employment start date and demonstrate potential to build an independent research program with externally funded research
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using statistical software. Prepares reports and presentations based on research findings. Collaborates with team members. Contributes to project discussions. Supports administrative tasks related
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using statistical software. Prepares reports and presentations based on research findings. Collaborates with team members. Contributes to project discussions. Supports administrative tasks related
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programming (Matlab and/or IgorPro). Experience using and programming ImageJ or another image analysis software. Molecular biology and/or experience with the use of viral vectors is a plus. Online Application
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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research interviews Skills in REDCap or other software for data capture and organization Experience with Atlas.ti, Dedoose or comparable qualitative analysis software The hourly pay range for this position
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
Keeler-Klunk Lab in the Department of Genetic and Cellular Medicine is seeking a highly motivated scientist with expertise in immunology or genome engineering, to join our cutting-edge laboratory
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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are an engaging and diverse academic community. Qualifications: Ph.D. in Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management