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伦敦数学科学研究所(LIMS)细胞编程方向博士后招聘
文章来源:知识人网整理       更新时间:2020年05月29日

  伦敦数学科学研究所(LIMS)细胞编程方向博士后招聘

  The London Institute for Mathematical Sciences is hiring Postdoctoral Research Fellows in the theory of cell programming from physics, mathematics or machine learning. This follows a recent partnership with cell coding company Bit Bio on a moonshot mission to create every human cell type for use in biomedical research.

  The postdoc positions are for one to three years, starting as soon as possible, with a gross salary of £42,000 per year. To apply, send a CV to at@lims.ac.uk.

  The London Institute is assembling a team of theorists to decode the dynamics of cell identity. Postdocs will interact with a senior theorist being simultaneously recruited, Thomas Fink and Ton Coolen, as well as Bit Bio founder Mark Kotter. Postdocs will play a role in determining the theoretical lines of attack and in influencing experimental innovations at Bit Bio.

  Candidates should have a PhD in physics or mathematics with experience in statistical physics, applied mathematics or theoretical machine learning. They will have a promising track record of research. Candidates should value collegiality and intellectual adventure and should write well.

  The London Institute for Mathematical Sciences is a private academic institute for curiosity-driven research in physics, mathematics and the theoretical sciences. Funded by research agencies, foundations and firms, it gives scientists the freedom and support to make fundamental discoveries full-time.

  Plausible approaches include, but are not limited to, the following:

  ·         Iterative data analysis and machine learning

  ·         High-dimensional and causal inference

  ·         Cell regulatory networks and neural networks

  ·         Cell subroutines and combinatorial innovation

  For more information on these approaches, see lims.ac.uk/postdocs-in-the-theory-of-cell-programming. For more information on the collaboration between the London Institute and Bit Bio, see lims.ac.uk/decoding-cell-programming/?73636284.


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