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Field
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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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University of California, Los Angeles | Los Angeles, California | United States | about 19 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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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
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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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Internal Number: 276715 Position Summary: Rutgers, The State University of New Jersey is seeking a Postdoctoral Associate for the Brain Health Institute (BHI) within Rutgers Biomedical and Health Sciences
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living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in