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pipeline. Research programs may leverage structure-based models, protein language models, generative AI, or novel hybrid approaches. Areas of interest include, but are not limited to, developing predictive
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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including research and scholarship funding, Higher Degree Research (HDR), grants and contracts, and ethics and compliance. The role provides high-level expertise in data analysis, modelling and reporting
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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and at most 17 hours. Be part of change CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc) Develop data-driven and machine learning-based models to improve
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, oxygen) Use these process-related insights to develop data-driven models to predict water quality under climate change Publish your results in scientific journals and present them at national and
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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its operational infrastructure, staffing model, culture, policies, and procedures to support continued growth and increased capacity Develops and implements a strategic plan aligned with the Center's
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-driven institution during a transformational time, as we prepare to open a new hospital and grow our academic medical center You will join a mission-driven institution during a transformational time and