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qubits. Using software such as Qiskit Metal and Ansys, qubit designs will be constructed and simulated, with AI methods optimizing them to explore the trade-offs between multiple design objectives. It is
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, and model evaluation. An understanding of epidemiologic principles, arboviral transmission dynamics, MCMC and Bayesian modeling, and prevention/intervention design. An understanding of data acquisition
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datasets, integrating multiple data types using appropriate statistical and computational tools (e.g. R or equivalent). C4 Excellent organisational and problem-solving skills, with the ability to work
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
the training. This approach has multiple benefits. First, there is no need to store and move a huge pre-created data set: float matrices of data can take terrabytes of memory, and reading them from the disk
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objectives. Troubleshoot analytical methods. Acquire, organize, and curate relevant datasets needed for statistical analyses. Oversee project activities, including potential supervision of student workers
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computing (HPC) environments and include data assimilation techniques in a Bayesian framework. Under the guidance of a mentor, the participant will identify and integrate multiple data streams into the model
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multiple locations across several targeted intervals. These will form the basis for empirical calibrations that we will use to predict the hypothetical natural baseline of Earth’s climate, free from
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activities and course delivery materials to support course objectives, advise students, work collaboratively to identify instructors, and perform service to the unit, university, and profession
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they are a risk to global health as they could enable the first step towards human adaptation and the generation of pandemic IAV strains. Multiple barriers have been identified that hamper avian IAV
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include: coordinating with multiple stakeholders and collaborators to define objectives and research questions; leading participatory co-development and refinement of conceptual models; devising management