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), to help design and deliver innovative, stackable courses leading to bachelor’s degrees in engineering with computing/AI; develop digital content, flipped classroom materials, assessments, and co-op
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openings across disciplines), to help design and deliver innovative, stackable courses leading to bachelor’s degrees in engineering with computing/AI; develop digital content, flipped classroom materials
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disciplines), to help design and deliver innovative, stackable courses leading to bachelor’s degrees in engineering with computing/AI; develop digital content, flipped classroom materials, assessments, and co
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interaction with materials, as well as surface reaction kinetics based on kMC-type descriptions. The main activities include: (1) the development of efficient surrogate models of kMC-based surface kinetics
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based
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”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
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materials hydration, properties and durability, from atomic to centimetric scale with mineral, chemical and physical characterisations. EMGCU (Experimentation and Modelling in Civil and Urban Engineering) in
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and localized strain depending on the loading condition and the material properties; – Implementing the model within LAGAMINE FE code by updating existing subroutine on chemo-mechanical physics, and
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability