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University of Darmstadt seeks candidates at the earliest possible date for two Professorships for Algorithmic Graph Theory and Logic. The positions are limited to a period of six years and come without
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-performance optimization solvers or low-latency financial systems is preferred. 3. Core Responsibilities Assistant Professor Participate in the development of theory and algorithms for YAND-related projects
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of optimization and generalization to inform the design of practical training algorithms. To produce high-quality publications in top-tier machine learning conferences and journals. To offer guidance and assistance
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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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-on learning and research opportunities. The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self
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of science; (b) develop novel metrics and algorithms for AI explainability; and (c) create a tight feedback loop where (a) and (b) can iteratively refine each other. As a postdoc, you will be based in the Data
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 12 days ago
Description The project aims to develop, validate, and apply original models and methods for the design, management, and optimization of material-handling solutions and four-way shuttle-based automated storage
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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the development of retrosynthesis and/or tree search algorithms. 3. Experience in the curation and analysis of reaction datasets 4. Experience in development of models that predict the function of enzymes using