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Field
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for the position of assistant professor in the project NCN MAESTRO "Challenging problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning
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and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses
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operate safely around humans. They offer unique advantages for manipulation and locomotion, but current control algorithms do not fully exploit their capabilities. Most rely on approximations tailored
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meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux environment. Experience with Data management utilizing software
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with disabilities. Location Omaha, NE Requisition Number: Staff_14138 Department Pathology, Microbiology & Immunology 50000521 Business Unit College of Medicine Reg-Temp Full-Time Regular Work Schedule
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develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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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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according to specifications using appropriate programming languages, tools, development methodologies, and adhering to best practices, while communicating progress, and delivering within scheduled timelines 3