60 parallel-computing-numerical-methods-"Prof" Fellowship positions at Nature Careers
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on interdisciplinary themes, and the use of computational methods will be essential. A key principle of the DSTrain programme is that novel and ground-breaking results are obtained when data science and natural sciences
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program on DNA-encoded Chemistry funded by the Novo Nordisk Foundation and involves several research groups from SDU. The PhD fellowships are at the Nucleic Acid Center, SDU and available in the group
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RNA-Seq data. The position involves development of computational methods and pipelines for long read RNA-Seq data, and the analysis of transcript expression, alternative promoters and alternative
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uniquely positioned to enable translational discoveries due to the enormous university-wide investments in biomedical informatics and precision medicine. These investments are exemplified by BioVU, a biobank
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Masters of TCM, National “Ten Thousand Talent Program” Leading Talents, Chief Scientist of the 973 Program, and National Famous Doctors of TCM etc. Currently, ZCMU employs 1,600 faculty and staff, and among
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The Faculty wishes to recruit a Postdoctoral Researcher Associate or Fellow to study the biology of pluripotency in the team of Prof Austin Smith. These European Research Council funded posts
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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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Postdoctoral Research Fellows Air Force Science & Technology Fellowship Program The National Academies of Sciences, Engineering, and Medicine maintain a database of more than 300 research
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Call for Outstanding Global Postdoctoral Fellows in the Biomaterials and Regenerative Medicine Group
Join the Biomaterials and Regenerative Medicine Group at SCUT! About Us Welcome to the Biomaterials and Regenerative Medicine Group, led by Prof. Liming Bian! We are a dynamic, international
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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify