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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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-time rendering techniques Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems Where to apply Website https
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content adheres to brand guidelines and maintains a consistent voice and tone. Optimize content for Search Engine Optimization and user experience. Cross-functional Collaboration Partner with the digital
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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alignment with institutional priorities while managing online event registrations, donation pages, microsites, surveys, and email invitations. They develop user-friendly web templates, optimize online content
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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tasks include: Development and optimization of interfaces and APIs for the integration of heterogeneous energy system data Implementation and maintenance of automated data processing and transformation
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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construction of complex metallic components. Activities include planar and non-planar slicing, toolpath optimization, robotic integration, and experimental validation on aluminum alloys and structural steels
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, allowing timely corrective actions to be implemented. Furthermore, such models shall support the optimization of processes from an energy efficiency perspective. Where to apply Website https