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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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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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, delivery and workforce planning for Birmingham Community Healthcare NHS Foundation Trust (BCHC) so that its Community Care Collaborative (CCC) partnership model can improve patient experience and outcomes
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analyses), unit operations (comminution and separation processes) as well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work is carried out in our well-equipped
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(comminution and separation processes) as well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work is carried out in our well-equipped mineral processing laboratory with
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: Investigation of precipitation and crystallization processes in phosphorus recovery using experimental and numerical methods Supervisor: Prof. Sergiy Antonyuk C2: Experimental investigation and modeling
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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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employment in a personal atmosphere with flexible working possibilities (e.g., remote work, creative spaces, etc.), a modern working environment at the Campus St. Pölten, and numerous benefits and development
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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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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