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innovative digital techniques to reconstruct lost books, map knowledge networks, and reveal the hidden histories of this fascinating era. A core element of this work is the application of biomolecular methods
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recently been made in the use of k-mer based methods as a more resource-efficient tool (for example https://doi.org/10.1186/s13059-019-1632-4 ). While such methods show promise when applied to in silico
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associations involve non-coding variants that lie within gene regulatory elements — enhancers or promoters. However, a lack of precise tools for the accurate assessment of regulatory activities, especially
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to integrate technical expertise with an entrepreneurial mindset will be a key factor, as we seek someone who can help drive research from the lab to industrial implementation. The successful candidate will be
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and documenting reproducible analyses and workflows Excellent English skills written and spoken Desirable experience and skills: Training in statistical methods appropriate for single-cell biological
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, it has so far been impossible to measure activity levels of enhancers in single cells. Hence, the successful candidate will have the opportunity to work on a project aiming to establish a novel method
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for analyzing the metabolome. The method development covers strategies for sample preparation, mass spectrometry analysis and data processing. Job Description The postdoc will be part of a newly funded Novo