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this mission, HT provides access to state-of-the-art research infrastructure in five key areas through the National Facilities for Structural Biology, Light Imaging, Genomics, Genome Engineering, and Data
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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as possible. Job description The project aims at determining in situ structures of axo-axonic synapses at the axon initial segment (AIS) of neurons through cryo-electron tomography (cryo-ET), and
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receptor diversity and specificity, predictive modeling of immune responses, structure-based immune protein design, systems-level simulation of immune networks, and machine learning for precision
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INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES, BETHESDA, MARYLAND The Section of Molecular and Structural Biophysics in the Laboratory of Chemical Physics, National Institute of Diabetes and
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Cryo-EM Molecular Structure Research Center (featuring China's first Krios 5 microscope) Recent breakthroughs: 18 high-impact publications in Nature , Science , and Cell on agricultural genomics and
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crystallinity beyond the limitations of SHG and conventional methods. Advance complementary harmonic imaging (CHI) by combining polarization-resolved SHG and THG to access structural information inaccessible
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imaging and spectroscopy modalities Ultrafast and in situ/operando techniques Advanced detector technologies and correlative approaches that reveal structure–function relationships Contribute to and enhance
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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+, Network, Windows, or Apple preferred Special Skills, Knowledge and Abilities: Addresses problems in a structured, logical approach. Asks for guidance and tries out new ideas when changes in approach