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, or as mutually agreed. We are seeking researchers with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds
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in biomaterials and bioprinting Experience in computational fluidic dynamics (i.e., COMSOL, Ansys Fluent) Experience in cell culture Knowledge of microfluidics computer simulation finite element
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skills and finite element modelling simulations. Education, Qualifications and Experience Essential Criteria A PhD (or equivalent experience) in physics, materials science, electrical engineering or
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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also
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sizing, and relief device sizing. Experience withpractical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2
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://www.ctcms.nist.gov/oof/ . Opportunities exist in image analysis, materials science, physics, and computer science. key words Computation; Finite element modeling; Microstructures; Eligibility citizenship Open to U.S
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Principal Investigator (PI) or Co-Principal Investigator (Co-PI) on research studies. Perform non-linear, dynamic, finite element analysis (FEA) and design for various research studies involving low- to high
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) and modeling. Experience with OpenFOAM or other finite-element heat transfer codes About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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(PDEs). Our goal is to design finite-dimensional controllers that are not only straightforward to implement but also robust against real-world imperfections, including system disturbances, measurement
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element simulation; clear demonstration of skills in biomechanical and/or physiological data analysis and processing; experience in human motion data collection. Workplan and objectives to be achieved