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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial applications. These new initiatives will be integrated into a state-wide
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for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design
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experience will NOT substitute for education requirement. Preferred Skills Deep understanding of data structures, algorithms and design patterns (GoF) 8+ Years of Java, J2EE and web/internet/service based
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collaboration to develop software that integrates advanced algorithms into experimental workflows, implement services for experiment control, and deploy AI tools alongside large-scale scientific infrastructure
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evaluation of cyber-physical system security solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in
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and performance, signal-in-space and signal processing, GNSS receivers, algorithms, OD&TS, formation-flying and radio frequency/optical metrology. Duties You will report to the Head of the Navigation
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, distributed algorithms, secure multiparty computation, and information theory. You are expected to speak and write in English at an academic level, and preferable also in Danish. Qualification requirements
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. The research work includes algorithm development for distributed processing, synchronization and resource allocation in distributed MIMO systems, with energy efficiency and sustainability in mind. This position