Sort by
Refine Your Search
-
to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
-
and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
-
of industrial high-temperature processes with potential for negative carbon emissions. PhD student in the field of numerical simulation of plasma-based methane decomposition Your tasks Setup of Computational
-
flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
-
, technologies and systems. The ERAM group within TSL have great experience in SSbD, especially in combining different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi
-
different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi-quantitative methods for decision support for sustainable innovation. PhD Student in Safe and Sustainable Green
-
more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
-
: Study activation under NIR light and assess catalytic and photothermal performance. Biomedical evaluation: Validate efficacy in vitro astrocytoma relapse models and ex vivo patient-derived tissue samples
-
plumes from point sources using the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission
-
. Phototherapy evaluation: Study activation under NIR light and assess catalytic and photothermal performance. Biomedical evaluation: Validate efficacy in vitro astrocytoma relapse models and ex vivo patient