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such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
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. Expertise in Big Data Analysis: Proven expertise in analyzing and processing large urban datasets for public health applications. IoT Knowledge: In-depth understanding of Internet of Things (IoT) technologies
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communication and writing skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course
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peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic
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in-depth knowledge in the synthesis, purification, and chemical characterization of organic compounds. Good experience in formulation chemistry Hands-on experience in liquid formulation
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students to help build their research skills and knowledge and to support and guide their professional development. Creating links, and build upon existing ideas to generate novelty in concepts and solutions
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applications is preferred. Experience with climate data analysis and crop modeling techniques is preferred. Knowledge of African agriculture and its challenges is a plus. Experience working in interdisciplinary
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journals. Exceptional communication skills aligned with UM6P's emphasis on knowledge dissemination and impactful outreach. Demonstrate an aptitude for teamwork. Application and Selection The application