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. Depending on the candidate's expertise, research activities may involve cybersecurity risk assessment for construction technologies, secure digital twins, AI-enabled cybersecurity, cyber-physical systems
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digital twins, AI-enabled cybersecurity, cyber-physical systems, robotics and automation security, Building Information Modeling, technology integration, or other related topics that support the secure
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: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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. in Chemistry, Physics, or related field, and is less than 5 after his receiving his their PhD. years , with extensive experience in the application of molecular dynamics simulations to molecular
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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Engineering, Physics, or a closely related discipline, within less than 5 years post receiving their PhD. The candidate should have a strong research background in at least one of the following areas: solid
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: Leveraging LLM / VLMs for interdisciplinary problems, such as: AI-driven scientific discovery, automating hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative
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contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center
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, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable