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Field
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: The Computational Geometry Lab researches the design and science of shape, aided by computational tools and design intuition. The Lab combines computational, formal, architectural, and historical research into a
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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Bioinformatics. The role focuses on exploring brain development and function from developmental and comparative perspectives, integrating molecular biology, advanced imaging, and genomics/transcriptomics
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advanced sensor technologies for embodied AI research. As a postdoctoral researcher, you will have the unique opportunity to work at the intersection of cutting-edge science and real-world application
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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degree in computer science, information technology, engineering, health informatics or a related field; Research expertise and strong background in one or more of the following areas: Computer programming
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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range of methodologies including developmental and cell biology, cancer biology, next generation sequencing and computational modelling. The Hill lab encourages creative and independent thinking and
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Postdoctoral Fellow Details of the role: This is a full-time, fixed term (4 years) position on Crick terms and conditions of employment About us… The Francis Crick Institute is Europe’s largest