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Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
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complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced
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development of standard and deep sub-micron process nodes design flow and translate the key physical parameters from models to design kits to support full integration of such advanced devices in CMOS processes
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to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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imaging cameras in advanced silicon technologies. Your work will push the boundaries of high-frequency sensing and integrated EM design. Job description In the Tera-Hertz Sensing (TS) Group at TU Delft, you
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gastruloids, organoids, or related 3D stem cell models Proven skills in advanced imaging and quantitative analysis of dynamic processes Interest in interdisciplinary approaches at the interface of biology and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
and generative models. Develop novel algorithms for generative modeling tasks and optimize LLM/GPT-like models on large datasets. Stay abreast of advancements in language modeling and generative AI
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analysis Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Number: 308854 Vacancy ID: PDS004701 Position Summary/Description: The Lee Lab in the Department of Biology at UNC Chapel Hill is seeking a postdoctoral researcher to advance our understanding