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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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with bioinformatics and analyses of complex data sets such as microbiomes. You are an independent, motivated student with an affinity for multidisciplinary and impact-driven research. You like working in
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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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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
candidate who is eager to unravel complex disease mechanisms. You have: A Master’s degree in neuroscience, bioinformatics, biomedical sciences, or a related field. A strong interest in transcriptomics, brain
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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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enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination of ‘off-the-shelf’ tools based on both sequence and structure. These enzymes will be
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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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machinery) to conduct new catalytic tasks through a combination of chemical intuition and enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination