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automated vehicles; AI or machine learning for transportation; traffic modeling, control, routing, or optimization; transportation digital twins and simulation; vehicle energy modeling; heavy-duty vehicle
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 7 days ago
domains are e.g. signal-/image processing and machine learning.
Tasks:
- modeling and simulation of near-memory computing architectures for RISC-V processors using
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related hardware applications, and its integration with scientific objectives into robust experimental workflows. Experience with machine learning, statistical modeling, optimization algorithms, or data
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Partnerinserat Übersicht Postdoctoral Researcher – Iterative Learning Control of Industrial Systems 100%, Zurich, permanent Drucken inspire AG is the leading Swiss competence centre for product
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lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model
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Qualifications* - PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field - Strong background in computer vision and/or machine learning, with hands-on
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development of advanced sensor systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The
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lab's existing machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of the perfusion hardware; developing improved control
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Machine Learning for Multimode Mechanics Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics
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Postdoctoral Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training