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Position Title: Postdoctoral Research Associate Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Chemical and Biological Science Division at Ames
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the influenza A virus infection cycle and developing methods for in-cell structural biology. This project will study influenza A virus infection inside cells using cryo-electron tomography. You will image
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innovation in the design and development of miniaturized imaging technologies. Your profile Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a
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. Working closely with Associate Professor Ronald Castelino and a multidisciplinary research team, the successful candidate will play a leading role in the management and delivery of the research program
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for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
doctoral degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field is required. Research
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. Professional communication skills, including written and oral. General computer skills using numerous software programs including, Microsoft Office (e.g., Word, Excel, PowerPoint, Access). Proficiency in drug
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Kelly Davis, Head of Collections IT, Rijksmuseum, NL (previously Yale, and Getty GPI) Required Qualifications: Ph.D. in Digital Humanities, Computer Science, Library/Information Science, Cultural Heritage
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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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