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advance our structural simulation and analysis capabilities. This position’s primary focus is to work closely with researchers and development engineers to provide software development knowledge and best
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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC
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fibrosis. The PhD student recruited for this project will work on existing zebrafish mutants available in the lab, as well as generate additional mutant and transgenic zebrafish models. Techniques include
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simulation framework to model the coupled USV-UUV system, enabling safe experimentation before field deployment. Field validation: Conducting field experiments (e.g. in a harbor and offshore test site) where
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, evaluating, and fine-tuning machine learning models (e.g. deep neural networks) to segment underwater scenes and classify anomalies. The work will explore the use of virtual environments and synthetic datasets
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of the AnyBody Modeling System, which later evolved into the independent commercial entity, AnyBody Technology. We continue to actively research and enhance simulation methods and their applications
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-switching valves, and hybrid fluid power systems. The professor is also expected to contribute to the development and application of model-based analysis, simulation, and optimization of fluid power and
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year before the position expires, you will be offered an interview to clarify your future career. Description of the PhD position: The PhD research will focus on mathematical / computational modeling