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of circadian rhythms in protecting against lung injury from viral infections, using animal models, cell culture and organoid systems. The circadian focus on lung biology and immunology provides several unique
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minutes have a unique gene expression program and atypical chromosome segregation during mitosis; yet, the underlying mechanisms remain elusive. This project aims to elucidate the chromatin structure and
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at scientific conferences. Mentor graduate students and contribute to the overall growth of the laboratory. Qualifications: Ph.D. in Biomedical Engineering, Computer Science, Neuroscience, or a related field
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, user-friendly software tools for the community. Publish results in top peer-reviewed journals and conferences. Qualifications Required: Ph.D. (obtained or expected) in a quantitative discipline: Computer Science
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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discipline (e.g. Medical Informatics, Computer Science, Data Science, Computational Social Science, Epidemiology, Biostatistics, etc.) Strong research track record, programming, and implementation skills
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to a solid research program with clear project goals and strong support for career development. Key Research Techniques & Models: Mouse models: Knockout, conditional knockout, transgenic, and patient
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desirable. Basic computational analysis skills (e.g., R or Python for sequencing data) are a plus but not required. Candidates must be team-oriented, organized, and enthusiastic about collaborative science
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cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next