4,768 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions
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efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims
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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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- Postdoctoral Research Associate, 306-YY_FACULTY - Postdoctoral Research Associate Business Title: Postdoctoral Research Associate – Regional Air Quality Modeling and Forecasting Employee Type: Faculty (+) (Fixed
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, such as initiatives on model-based systems engineering in aircraft engine systems development. Possible research directions include: data-driven geometry assurance, tolerancing and variation simulation
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these gaps by focusing on the Aquitaine Basin and surrounding regions through: 1) collecting data on heat, fluid, and mantle degassing fluxes, and modelling thermal evolution of the lithosphere (WP1); 2
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develop and evaluate computational methods for modelling patient-specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately
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Your position A fully funded Postdoctoral position is available in the Computational Pharmacy group at the University of Basel within an international Innosuisse research project on AI-driven closed
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
. The successful applicant will develop physics-based and empirical models for uncertainty in acoustic propagation and validate them with existing ocean acoustic data sets. This position is fully funded for two
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High