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Field
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Your research will be conducted at the Department of Urology, the Department of Pathology and Clinical Bioinformatics at Erasmus MC in Rotterdam, and in collaboration with the Computational
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, bioinformatics, and statistics, both within and outside UMC Utrecht (including the Dutch Center for RNA Therapeutics and Charles River Laboratories). Informal yet close collaboration with fellow PhD candidates
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-derived neurons that generalize over different patients. To test candidate intervention strategies that normalize these phenotypes. In addition to these core activities, you will perform bioinformatic
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expression and translation regulation in the context of development. You are motivated to develop and optimize cutting edge single cell ribosome profiling techniques and you have affinity with bioinformatics
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of development. You are motivated to develop and optimize cutting edge single cell ribosome profiling techniques and you have affinity with bioinformatics. We are looking for a colleague that meets the following
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patients. The candidate will work closely with a multidisciplinary team consisting of colleagues from biomedical sciences, medicine, bioinformatics, and statistics, both within and outside UMC Utrecht
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addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will
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Immonuprecipitation (ChIP); Genome editing, e.g. to (degron) tag proteins of interest; Bioinformatic analysis of generated sequencing data. During your PhD, you will learn about the field of gene regulation, expand our
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science and have a particular interest in and preferably have knowledge of gut anaerobic culturing, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving
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, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic