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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position
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Address : tanaka-u-recruit@oist.jp Declaration : OIST Graduate University is an equal opportunity, affirmative action educator and employer and is committed to increasing the diversity of its faculty
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heterodimer (Nucleic Acids Res 50:3254, 2022); revealed a mechanism that expands PXR's ligand binding pocket to reduce ligand's binding affinity (Proc Natl Acad Sci U S A. 120: e2217804120, 2023); and
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pocket to reduce ligand's binding affinity ( Proc Natl Acad Sci U S A . 120: e2217804120, 2023 ); and discovered the first CYP3A5-selective inhibitor and its structural basis ( J Am Chem Soc 143:18467
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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proteomic analyses often obscure the intricate cellular and molecular variations within this complex environment. Single-cell proteomics (SCP) offers a novel approach to dissect this heterogeneity by
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and