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Field
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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Sciences The research focus of this role will be collection and processing of varied laboratory sample or drill core data, including infrared hyperspectral images to produce high throughput proxies
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. This postdoctoral focuses on developing a new paradigm for the circular manufacturing of heterogeneous photonic integrated circuits. While heterogeneous integration has emerged as the leading approach for combining
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molecular plant biology. Ideally, they will also have previous experience working with Physcomitrium patens. Experience with confocal microscopy and/or quantitative image analysis is also essential
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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required to scale massive biomedical imaging models efficiently over distributed GPU environments. Key Responsibilities Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation
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conducting experiments, analyzing and interpreting research data, preparing biological samples for laboratory analyses, and utilizing flow cytometry and imaging technologies to investigate sperm phenotypes and
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Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models
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(Rietveld refinement and PDF analysis), of Dr. Marie-Ingrid Richard’s group at CEA Grenoble, experts in Bragg Coherent Diffraction Imaging (BCDI) and of Dr. Frédéric Maillard group at LEPMI, which is
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the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems