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shared GPU servers to the Delft AI Cluster and the DelftBlue supercomputer. Your supervisors will be Prof. Dariu Gavrila and Dr. Julian Kooij. Job requirements We are looking for a candidate with: An MSc
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combining advanced experiments with multiscale modelling, CIRHY enables reliable, sustainable steels for future infrastructure and industry. The project was granted by the Dutch national funding agency NWO in
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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research software and working with high-performance or GPU computing environments. Experience publishing or contributing to scientific articles or conference papers. Personal qualifications Good
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architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
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advanced multiscale mechanical–transport modelling with experimental validation to quantify and predict the structural evolution of both the selective skin layer and the polymeric support layer under
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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, and ultimately in system designs with suboptimal thermal performance and energy inefficiencies. This programme focuses on the development of multiscale models that will improve our understanding of how
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master students. You will join the Multiscale Simulation of Biomolecular Systems group of dr. ir. Ioana M. ILIE, part of the Computational Chemistry research group within the Van 't Hoff Institute
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-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus