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programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems Description of ACER-CoE: The Centre was established to address enduring process
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promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer
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, or biomedical engineering, or a related field. Strong background in materials characterization and manufacturing processes. Experience with CAD/CAM software and 3D printing technologies. Excellent
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality
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to characterize materials in the laboratory. Develop innovative solutions to address technical challenges. Field Work and Testing: Monitor material aging and performance at external sites (travel required). Perform
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: The candidate submits a proposal on global health, public health in Africa. On the continent, chronic diseases are becoming a major concern. The research will document this development and examine what
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-time PCR, and Flow cytometry. Advanced Knowledge in skin biology and technical skills in cosmetic formulation. Proficiency in the use of software and databases and statistical analysis. Publish in well