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- Utrecht University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- Amsterdam UMC
- Amsterdam University Medical Center
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- Utrecht University; Published 11 Nov ’25
- Wageningen University & Research
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Field
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bioinformatic analyses on honeybee resilience to infection. For this project, we are looking for an enthusiastic postdoc to perform bioinformatic analyses of the (development of the) immune response of bees
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Bioinformatics (MaCSBio). Plants constantly interact with the world around them—from light and water availability to the countless microbes inhabiting the soil. Our understanding of these dynamics is growing
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mouse embryonic stem cells to allow for rapid protein depletion, mapping transcriptional effects (RNA-seq, TT-seq, PRO-seq), proximity labeling approaches, ChIP, and the bioinformatic analysis
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protein and peptide separation methods, cell culture and molecular biology labs, and bioinformatics infrastructure. The group has world-renown expertise in the analysis of intact (native) proteins
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for causal inference; make use of available and newly obtained omics datasets as input for your approaches; collaborate with both experimental researchers as well as with bioinformatics/systems biology
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://www.academictransfer.com/en/jobs/357537/postdoctoral-researcher-phyloge… Requirements Specific Requirements We are looking for a candidate that: Has a PhD degree in Bioinformatics, Microbiology, or a related field; Has
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inference; make use of available and newly obtained omics datasets as input for your approaches; collaborate with both experimental researchers as well as with bioinformatics/systems biology researchers (e.g
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readouts such as Perturb-seq. Experience or familiarity with advanced genome editing methods such as prime editing, or base editing is highly desirable. Experience with bioinformatics data analysis using
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strategies; proven ability to design, execute, and troubleshoot pooled and/or arrayed CRISPR screens in mammalian cells; strong computational skills in bioinformatics and data analysis (e.g. R, Python
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with glycobiology, structural biology, or influenza evolution, for example using glycan interaction assays, bioinformatics tools, or structural models to refine hypotheses. Additional Information