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scientific computing, image data processing and numerical simulations would be most welcome You should enjoy working in an interdisciplinary, multinational research environment Being an enthusiastic researcher
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analysis, or at least, bioimage informatics applied to neuroscience data such as neuronal activity imaging, neuronal activity monitoring, behavioural tracking, or transcriptomics of neural tissue. Further
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methodologies. • Proficiency in using computer tools and software dedicated to data processing. Personal qualities: • The postdoctoral researcher must be motivated, rigorous, well-organized, and able to work
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Title: FLARE Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldEnvironmental science » OtherEducation LevelPhD or equivalent Skills/Qualifications The primary focus of the Post
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postdoctoral researchers. A tradition of excellence in patient care, basic, clinical, and translational sciences, combined with the strengths of one of the world's top academic institutions provides
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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Biological/Biomedical Sciences Computer/Information Sciences Medical - Research Internal Number: A-179992-4 General Description Laboratories in the Department of Biophysics and Biophysical Chemistry at Johns
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://research.nottingham.edu.cn/en/persons/alain-chong ; Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal Information Processing
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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provided by the PI and the Office of Postdoctoral Affairs. Among the key duties of this position are the following: Design, perform and analyze molecular biology, cell biology, and in vivo behavioral