592 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" positions at Nature Careers in United States
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research and teaching interests, (3) up to three representative publications, and (4) the names and contact information of at least three referees. Applications must be submitted electronically at http
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innovation and venture creation. This role sits within VIB Innovation & Business – AI Studio , a growing team that turns VIB’s biological data and AI expertise into trustworthy, reproducible digital assets
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
the centrosomal architecture and function, the deregulation of which can lead to the development of various human diseases, including cancers, microcephaly, and AIDS. For additional information, please visit https
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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the NIH guidelines for postdoc salaries. Interested candidates should send your CV and contact information for three references. Please send your application to Dr. Deqiang Li at deqiang.li
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. For more information about our research, please see the following publications and website: Science 381: eadd6696 (2023) PMID: 37499037 Science Advances 8: eabo0404 (2022) PMID: 35857842 Nature 597: 132
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. ICDP projects contribute significantly to major advances in understanding Earth’s environment and life, sustainable georesources, and natural disasters. A key aspect of OSG support is data and
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD