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scrambling. These splicing processes are regulated by cis-regulatory sequences and trans-acting splicing factors (SFs). While most mRNA isoforms produced from the same mucin gene locus encode similar
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, neuroscience, molecular biology, or related disciplines FELASA certification Ideally, prior experience in bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy
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, biochemistry, genomics, bacterial genetics and bioinformatics. You can work both independently as well as in an international team You can plan and perform laboratory experiments accurately You have strong
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. Experience in or willingness to learn analytical chemical analyses and data processing. Excellent command of English language (written & oral) and experience with scientific writing. Driver’s license valid in
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, will serve as input to generate a statistical prediction model, that will be built together with the bioinformatics team. You will publish scientific articles related to the research project, disseminate
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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(genome sequencing), bioinformatics and single-cell (microscopy, microfluidics, FACS) analyses of E. coli bacteria and will be centred around the following themes: Pathways involved in robustness against de
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, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research and be open to acquire novel skills in bioinformatics, biostatistics, and
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statistical analysis basic processing of NGS data experience with iPSC and/or cell culturing knowledge of and some experience with genetic perturbation assays, such as CRISPR What we offer As part of the VIB
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, enthusiastic, critical, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research ànd be open to acquire novel skills in bioinformatics