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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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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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methods in place in the applicant lab, we will produce capped mRNA encoding for antigens. We will produce Lipid Nano Particles carrying mRNA to be tested using techniques in place in the laboratory. LNP
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stress, inflammation, cell plasticity and degeneration, Innovative therapeutic strategies for inner-ear disorders, involving viral and non-viral gene delivery methods, innovative animal models, organoids
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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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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