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simulated wave conditions. Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication
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, with focus on CO, NOₓ, N₂O, and unburned NH₃. Generate modelling insights and tools to support the design and optimization of low-emission, ammonia-fueled propulsion technologies. Job Requirements: PhD
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outline their research plans to optimally extract cosmological information using one or multiple of these datasets. Priority will be given to candidates who can connect their science to SPHEREx, Simons
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recycled rubber, replacing track bed layers traditionally built with natural materials. The methodology employs advanced numerical analysis tools focusing on the non-linear behavior of granular materials
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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ecosystem impacts. Biogeochemical models (BGC) play a critical role in the MRV framework by providing numerical simulations to evaluate air-sea CO₂ fluxes and associated biogeochemical changes. However
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advanced artificial intelligence / machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ . What you’ll do: Design, fabricate, characterize, and optimize
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operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance. Designing and maintaining digital twins of fusion devices, including autonomous control
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materials 4.Workplan and objectives to be achieved: The work plan includes activities focused on developing numerical modeling tools for the extrusion process and using them to support process optimization