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access to the technology Hubs by the SyNergy Cluster of Excellence. These include advanced platforms for single-cell and spatial transcriptomics, high-resolution imaging, multiomics, and neuropathology
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patient-derived xenografts and genetically engineered mouse models to inform better immunotherapies for treating high-risk neuroblastoma. Key Responsibilities Design and conduct experiments investigating
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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related to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
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-reviewed journals and workshops Your qualifications: A Master's degree (or equivalent) and a PhD in Hydrology, Civil or Environmental Engineering, Geosciences, Environmental Sciences, Physics or Mathematics
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, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities
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immunotherapies for pediatric tumors. Studies are focused on using genetic engineering approaches to not only render immune cells cancer specific, but also improve their effector function. Genetically modified
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mouse models, and genetically engineered GBM models. Project 2: Develop hyper-hypermutant GBM mouse models and integrate them with patient-derived samples to study responses to emerging immunotherapies
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-of-the-art infrastructure and collaboration with experts in food structure, technology, and sustainability Opportunities for career development and international networking A strong support system for academic