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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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: Perform high-fidelity thermal and mechanical numerical simulations for metal additive manufacturing. Develop and implement PIML models for analysis and optimization of metal additive manufacturing
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for the captioned post. Duties and Responsibilities Conduct advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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concrete model problems and numerical examples to guide and prototype the development Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in applied and
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to assess the realism of IPSL climate model regarding air-sea carbon exchanges - Application of these diagnostics to a set of numerical simulations to quantify improvements in C-cycle in the new IPSL climate
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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attention to phenomena dependent on strain rate, temperature, thermal history, and microstructure; elasto-viscoplastic and micromechanical constitutive modeling, developed in academic and/or industrial
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numerical modelling tools (e.g., Delft3D, HEC-HMS, MIKE, GR4J) is advantageous. Strong analytical and visualization skills with excellent scientific writing and communication abilities. Ability to work
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particular constraints and will be identical to those of the other researchers at the Observatory. The PhD thesis concerns the analytical and numerical modeling of galactic bars. The candidate will compare