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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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are: theoretical phytopathology; predictive modelling / Bioinformatics; quantitative disease immunity; structural biology. However, researchers working on other cutting-edge theories/approaches in phytopathology
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bioinformatic approaches. Working in a highly collaborative environment together with the Artegiani-Hendriks group in the Máxima, you will uncover the developmental origins, molecular mechanisms and sex-specific
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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Are you a MSc graduate with background in data science, computer science, biostatistics, bioinformatics or a related field? Do you have a solid foundation in machine learning? Are you passionate
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predictions into biological insights and identify ancient genetic traits that may contribute to future climate-resilient agriculture. Within Wageningen University, you will be embedded in the Bioinformatics
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differential gene expression analyses Perform bioinformatic and statistical analyses to identify and interpret gene-level genetic and DNA methylation variation between accessions Assist in greenhouse work as
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Host: Structural Bioinformatics Group, Radboudumc
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how protective microbes influence plant–pathogen interactions; collaborate closely with researchers in microbiology, plant pathology, phenotyping, bioinformatics and predictive modelling. The project