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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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role in overseeing financial planning, optimizing resources, and enabling the University’s ambition and innovation. We are at the forefront of formulating, reviewing, and analysing the University’s
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cover duties performed by our current Multimedia Support staff who will be on maternity leave: • Manage and optimize the website (wordpress platform) as a key communication tool alongside other digital
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Responsibilities: Develop and optimize flexible electronic devices, including sensors, actuators, and integrated circuits for health monitoring / wearable robotics applications. Design and fabricate flexible
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established protocols for the reprogramming of iPSC lines. - Collaborate with researchers to further optimize workflow for reprogramming. - Explore alternative workflows for reprogramming. 2. iPSC Culture and
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. Conduct post-implementation troubleshooting and fine-tuning of security software to optimize performance and resilience. Oversee and enforce access controls, ensuring proper user authentication
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Hardware Development: Design, prototype, and validate miniaturized, wireless sensors for physiological and biomechanical data collection. • Embedded Systems: Develop firmware and optimize low-power