21 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Carnegie Mellon University
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Researcher to carry out advanced independent and/or directed research to achieve the objectives of the research project. This position will require an in depth knowledge of a specialized field, process, or
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knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: Doctorate degree required Experience with rodent animal surgery and lung
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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices
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and computer engineering. Working closely with interdisciplinary researchers. Performs other duties as assigned. Inclusion and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in
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and computer engineering. Working closely with interdisciplinary researchers. Performs other duties as assigned. Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we
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. The project will initially be associated with a NPS project that seeks to leverage Operation IceBridge elevation change data to refine projections of glacier changes in Alaska through 2100. Additional
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practices in different research communities; Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices