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). The objective of this project is to enhance malaria control programs in Peru, Ecuador, and Brazil by expanding and improving early warning and surveillance systems, and modeling the impacts of coordinated
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Science, or a related field. • Strong understanding of heat and mass transfer, thermal comfort, and indoor environmental quality. • Proven experience in CFD modelling for airflow and heat transfer
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. vector design and generation, genetic murine models, and/or genome editing), a strong understanding of physiology and disease models, as well as a track record of innovative scientific contributions
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including
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quantum photonics Collaborate with faculty and research staff on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and
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and modeling of properties and spectra of PFAS chemicals with the goals of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s development team Interacting with Continental business areas
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basis. The successful applicant will investigate the structure, dynamics, and mechanism of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus. The project will employ a