Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and […]
We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here, we give you the opportunity to ask any HPC […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and […]
We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here, we give you the opportunity to ask any HPC […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and […]
We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here, we give you the opportunity to ask any HPC […]
Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking Date: October 26, 2023 Time: 1.00 pm - 5.00 pm Format: hybrid More Information Description Short abstract: […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and […]
Name: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation Date: November 02, 2023 Time: 1.00 pm - 5.00 pm Format: online More Information Description Short abstract: […]
We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here, we give you the opportunity to ask any HPC […]
Name: Parallelization in OpenFOAM for HPC Deployment Date: November 06, 2023 & November 16, 2023 Time: 10am - 4pm Format: Online Flipped Classroom focusing on hands-on training More Information […]
Name: Introduction to Machine Learning and Deep Learning Date: November 09, 2023 & November 10, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information Description Short […]
Events
