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The research will address key challenges and explore the following areas: 1. Decentralized Scheduling Algorithms: Design algorithms for operational scheduling and rescheduling of shared assets in connected
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compensation matrices, gating strategies, and clustering algorithms. Maintain and calibrate flow cytometers (e.g., BD LSRFortessa, Cytek Aurora), ensuring data quality and reproducibility. Apply innovative
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uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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algorithms on these types of platforms, fed back by visual information. 2. Testing and validating the automatic loading management system implemented in Droneport. Improving this system if necessary. 3
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/Administrative Internal Number: 527188 Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214241 - Computer Science Normal Work Schedule: Monday - Friday 8:00am to 5