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these may be taken into consideration. The applicant must hold a PhD in bioinformatics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and
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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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environments. • Self-motivation and curiosity, with a strong drive to explore new research directions independently. The following education, experience and expertise are required: A PhD degree in bioinformatics