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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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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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or equivalent degree required. Preferred Qualfications Significant experience in behavior testing and bioinformatic data analysis is preferred. Additional Information: Location: Biomedical Research Tower (0112
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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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, experience in preclinical studies using leukemia mouse models is required. In addition, the candidate should have a strong background in cancer biology, immunology and computational biology, bioinformatics
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge of complementary structural and biophysical methods. Specialist knowledge in the discipline
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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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, including annotated electronic resources and application of statistical analysis and bioinformatic pipelines. The candidate will be expected to contribute to other group activities, such as, but not limited
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest