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. Bioinformatic analysis of proteoglycans in trypanosomatids. Bioinformatic analysis of proteins involved in polysaccharide metabolism in trypanosomatids: correlation with biofilm production. Bioinformatic analysis
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the University of Ostrava announces a selection procedure to fill the position VP1 researcher This position is filled in accordance with the conditions of the Life Environment Research Center Ostrava (LERCO, reg
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(SHM) is a key process in diversification of antibodies. This process is initiated by cytosine deamination by the activation-induced cytidine deaminase (AID) and completed by error-prone processing
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Biology, Machine Learning, Bioinformatics, Biotechnology or related discipline Experience with computational tools for protein engineering or machine learning Demonstrated ability in biological data
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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with Western blot analysis is considered an advantage. Bioinformatics skills, including basic data processing, statistical analysis, or work with high-throughput or sequencing data, are highly welcome
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-rich cortical poles and associated cortical flows in detached tumour cells, which correlate with metastatic potential. However, these processes lack a rigorous quantitative and three-dimensional
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these processes. In addition, we will explore strategies to restore HSPC function by targeting inflammation-induced vulnerabilities. This work will provide mechanistic insight into how aging-associated inflammation
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microscopy, CRISPR, omics approaches (Chip-seq, proteomics), or bioinformatics. How to apply: Cover letter: your motivation to apply for this position and description of your research interests. CV: Highlight
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transformation, or reporter-based imaging basic data analysis skills (R/Python), statistics, or omics/bioinformatics prior experience with hormone biology/plant signalling/transport LanguagesENGLISHLevelGood