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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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’ cores. At the same time, the code is interfaced with Matlab and Python for ease of use. You will research and realize numerical techniques that can be used to solve or alleviate the above problems and use
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If a biologist had never seen a building before, how might they think it had grown and evolved? Could they find a ‘genetic code’ for buildings? We seek a Postdoc for this Villum Experiment
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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. Be eager to learn new techniques and understand new scientific disciplines. It’s a clear plus if you can code in Python, have experience with liquid-handling robots (Tecan Fluent/Evo, Hamilton MicroLab
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affect transcription dynamics? And is this coupled to changes in mRNA translation? What is the role of non-coding RNA, produced by transcription, in regulating mRNA translation? What
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experience with statistical analyses, bioinformatic analyses, coding and development of pipelines, handling of large genomic and transcriptomic data sets, comprehensive understanding of and experience with
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interests, the candidate may also take part in field data collection, help design and maintain project website, create and maintain open-source code (including thorough testing and documentation), and develop
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/statistical genetics, statistics or similar. The following skills will be an advantage Proven experience in handling and analysing large genomic datasets Proficient knowledge of coding in R/Python and high