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Field
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activities: Collaborate in the definition of the procedure for managing the information and metadata of 2D and 3D images of cultural assets, in accordance with national standards for heritage.Quality
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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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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alternatives, the FPGA technology will be leveraged to achieve a larger processing and memory bandwidth when working with large aperture arrays. The project will be a pathfinder for fast, all-sky imaging with
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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, Physics, Computer Sciences, or related areas, with focus on seismic imaging Experience in inverse problems, seismic data analysis, and geological interpretation Proficient in coding languages, such as C, C
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
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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