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Your Job To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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Your Job You will develop and evaluate model-based charging and vehicle-to-grid strategies for electric vehicles. Your work will combine battery and battery ageing models with real-world mobility
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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objective of this master thesis is to evaluate the economic impact of different policy instruments on DAC economics. You will review existing policies for DAC and model the impact of these on the cost of
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mostly judged on factorization alone, yet a factorized model is also quantized before it is deployed. Does preparing a model for low rank help or hurt once it is also quantized, and can the combination
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model development for EOS, transport properties and opacities will be added, and compare with experiments with laser interaction on gaz jet or burried layer, or experiments with a high pulse power
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Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [8] TorchVision / PyTorch documentation, ResNet-18 and ResNet-50 Model Architectures. [9] Ultralytics, YOLOv8 Real-Time Object Detection
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Handle process constraints during learning Evaluate the trained controllers on a more detailed process model to assess how well the learned policies carry over beyond their training environment Validated