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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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experimental biology, with opportunities for training in wet-lab techniques if desired. An extensive network of international collaborators that can help you expand your professional contacts. 📓Qualifications
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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