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We offer the following reserach topic: Thesis - Machine learning based testing of battery and fuel cells Your Responsibilities Fitting Physical Models to the test measurements of ... the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical ...
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... of a battery (ECC) State Space Model (SS-Model) on time invariant model parameters (R & C constant) Implementation and comparison of different ML algorithms like NN, LSTM, Decision ... synthetic data set generated by an ECC Comparison of at least two different ML algorithms (NN mandatory) to R & C parameter estimation Time variant model parameters (R & C) (optional) How ...
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... regarding energy consumption, accuracy and robustness. State of the art analysis of approaches to perform ML on DVS streams Select a model, then fine-tune it if required for a typical ... automotive scenario alternatively: build a simple own model by applying multi-stage learning using an existing perception system as feature extractor Port model to run on neuromorphic ...
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... Excellent written and spoken English skills WE OFFER: Various working time models, flextime and the possibility of working from home Contributing to a safer and more sustainable future of ...
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