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analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell
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to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support
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potential spinout. You will hold a relevant PhD/Dphil (e.g. Chemical Engineering, Chemistry, Materials Science, etc.) or be near completion* together with relevant experience and possess significant knowledge
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) at the University of Cape Town, led by Professor Sheetal Silal. The post holder will contribute to two major initiatives: Malaria Modelling and Analytics: Leaders in Africa (MMALA), which strengthens modelling
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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Fritzsche, conducting individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generating original ideas by building on existing concepts. You
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access, analytical methods, and protocols, maintain clear documentation, and coordinate data exchange with partner sites and repositories. They will contribute to project design, manuscripts, presentations
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a PhD/DPhil, strong analytical and coding skills, and a passion for interdisciplinary collaboration. If you have experience in modelling, data science, or heritage science — and a drive to turn