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this challenge by developing mechanistic computational models. You will apply these models to recapitulate key aspects of intestinal development in the nematode Caenorhabditis elegans, which is an excellent model
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-resolved microscopy data Collaborate with other computational researchers to build better models Collaborate with experimental researchers to validate predictions Present findings at scientific meetings and
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, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years. Equal opportunity is an important part of our personnel policy
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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space Collaborate with other computational researchers to build better models Work closely with experimental researchers to guide synthesis and validate computational predictions Present findings
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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Physical Sciences for Advanced Materials and Technologies (MPHS) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Nicola Fusco Contact e-mail: mphs@ssmeridionale.it 8. Modeling and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins