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analysis pipelines in a unique human brain circuit model to generate mechanistic insights, with the ultimate goal of combating Parkinson’s disease. You will have access to excellent support facilities
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the University of Antwerp as host institution. Project background Understanding the dynamics of microglia in brain disorders is critical for the future development of therapeutics. Microglia are crucial in shaping
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Method Development Develop novel genomic frameworks for detecting gene loss in plant genomes Implement approaches to distinguish DNA deletion from pseudogenization Analysis of gene
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and motivation. Ideal candidates will possess critical thinking abilities, excellent oral and written communication skills in English, and a collaborative mindset. Additionally, they should demonstrate
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, critical, and creative individual to join our team. The successful candidate: Holds a PhD in neuroscience Has at least one first-author research publication in a peer-reviewed international journal Has
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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed
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transcriptomics or functional genomics is a plus. Creative, enthusiastic, critically thinking, enjoying teamwork and excellent oral and written communication skills in English. We offer A versatile and
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independently and accurately You can take initiative, function well in a team, breath enthusiasm and have a hands-on mentality, perseverance and critical mind-set You have excellent interpersonal skills, to work
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) students and/or technicians. You can take initiative, function well in a team, and have a hands-on mentality, perseverance and a critical mindset. You look forward to the collaborative environment and
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving