45 distributed-algorithm-"Fraunhofer-Gesellschaft" uni jobs at Northeastern University
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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resilient AI, including adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills
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systems, including data protection, model security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY
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employers. About the Global Campuses The university campuses operate as a distributed global network. For example, new programs may be developed and established at one of the network campuses, enhanced
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building significant components of an operating system from scratch. Cloud Computing: This practical course covers fundamentals of cloud computing, including virtualization and containers, distributed file
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their needs, accordingly, as detailed in procedures/processes. Fielding incoming telephone calls and routing appropriately. Accepting, recording, distributing, and processing work requests dispatching
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About the Opportunity Reviews and approves Payroll Distribution Changes, Extra Compensation, Monthly Payroll reporting and Travel reports on sponsored awards. Collaborates with Colleges and
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learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion