10 video-coding-hevc-video-compression Postdoctoral positions at Nature Careers in Denmark
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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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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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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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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
fluorescence spectroscopy. Jobdescription The postdoc will first incorporate donors and acceptors by a genetic code expansion approach, introduction of free cysteines and insertion of peptide tags for labelling
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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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. 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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/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