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development. We design, fabricate, and validate microphysiological systems that recapitulate human tissue and organ physiology with high fidelity. Our work sits at the interface of bioengineering
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framework (Simulation Open Framework Architecture) High-performance computing and cluster computing experience Background in biomechanics, robotics, or computational neuroscience Additional Assets: Experience
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severity, encompassing clinical and body weight evolution, survival, viraemia, and immune profile, and genotyped using high-density SNP arrays. Genotype-phenotype association studies will then be conducted
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biological systems such as ecological and neural dynamics. The project is particularly suited to a student with a strong background in physics, applied mathematics or theoretical/computational biology who is
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UniGEM). Within UniGEM, this internship aims to engineer the features input into the neural network and to compute their values using real malaria parasite data. These values will be used in a subsequent
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dysfunction associated with these disorders. This project employs larval Drosophila models to identify robust and quantifiable disease-associated behavioral phenotypes using high-throughput behavioral assays
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on animal experimentation. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications
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optical imaging methods that provide new understanding of host-pathogen interactions and high-content in situ imaging techniques, their application to infections, cellular biology, cellular microbiology