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processing, visualization. You will explore new avenues in coherent imaging, e.g. exploiting machine learning or introducing new techniques exploiting the EBS-enhanced coherent photon flux. You will also
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maintaining high-quality code on Github Ability to visualize experimental results Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated postdoctoral
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Connections working at Tufts University More Jobs from This Employer https://main.hercjobs.org/jobs/21893219/postdoctoral-scholar-biology Return to Search Results
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data analysis, urban design, data visualization, and community engagement skills. The Postdoctoral Associate will work closely with the Center Director and staff, AAP faculty associated with
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visualization, manuscript preparation and publication, grant writing, and oral presentations. The Center is developing a variety of activities and expects the Postdoctoral Research Fellow to work with the Center
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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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of the land on which we live, work and create. Project Details: Abundant Intelligences – Indigenous Approaches to Artificial Intelligence, an international Indigenous -led research program seeks a Postdoctoral
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Number: 308854 Vacancy ID: PDS004701 Position Summary/Description: The Lee Lab in the Department of Biology at UNC Chapel Hill is seeking a postdoctoral researcher to advance our understanding
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for enthusiastic, creative, and highly motivated Postdoctoral Research Fellows to join the laboratory of Dr. Mirko Paiardini. Our laboratory is focused on characterizing cellular and anatomical niches of HIV