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<p>Dear all,</p>
<p>We are looking for an open-minded and enthusiastic bioinformatics
postdoc candidate for a three year project on developing
computational methods for the analysis of complex genomes. The
project will follow up on a recently developed method of the group
that assembles individual haplotypes of tetraploid genomes using a
combination of bulk long-read and single gamete genome sequencing
(Sun <i>et al., </i>2021, bioRxiv,
<a class="moz-txt-link-freetext" href="https://doi.org/10.1101/2021.05.15.444292">https://doi.org/10.1101/2021.05.15.444292</a>). The candidate will
develop computational methods to genotype samples based on
individual haplotypes of any genome and apply these methods to
analyze the inheritance of such haplotypes in recombinant pollen
genomes of potato cultivars. It is expected that the
haplotype-based genotyping methods developed in this project will
be applicable beyond the field of plant genomics (e.g. human
genomics).<br>
<br>
Applicants should hold a PhD degree in bioinformatics or a similar
field in computational biology. We are specifically searching for
a candidate with strong programming skills (Java, C++, Python),
experience in the analysis of high-throughput sequencing data, and
the ability to make use of high-performance computational
clusters. Good oral and writing skills in English are a must. The
Schneeberger group is located at the Faculty of Biology of the
Ludwig-Maximilians University in Munich, with a part of the group
working at the Max Planck Institute (MPI) for Plant Breeding
Research in Cologne, Germany. The candidate for this project will
be based at the MPI in Cologne. Please find the attached PDF for
additional details about the position and how to apply. <br>
<br>
Kind regards,<br>
<br>
Raúl Wijfjes<br>
Schneeberger Group, Ludwig-Maximilians University Munich, Germany<br>
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