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Field
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures
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models; applying genome-editing approaches, including bridgeRNA-guided recombinases, to investigate therapeutic efficacy; using molecular techniques and in vivo mouse models to investigate disease
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therapy resistance has already been observed in both patients and pre-clinical mouse models, highlighting the urgent need to define the mechanisms that drive resistance and to identify rational combination
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). The successful candidate will join the research groups of Laura Medina-Puche and Andrea Gust at the ZMBP. The project combines evolutionary genomics, AI-guided structural modelling, and molecular and functional
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to join a multidisciplinary biomedical research team. The successful candidate will contribute to cutting-edge research involving genome engineering, transgenic animal model development, molecular biology
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on the specific questions addressed, approaches may include mammalian cell culture, molecular and cell biology, genetic perturbation, imaging, epigenetic and chromatin profiling, and in vivo models of early
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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sample, and in vivo leukemia models Perform and oversee molecular, cellular, genomic, and functional assays Analyze, interpret, and integrate multi-omics datasets to generate biologically meaningful