37 postdoctoral-signal-processing Postdoctoral positions at Chalmers University of Technology
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to upcycle nutrients from saline seafood process waters, while simultaneously producing valuable biomass. A core of the project is to tailor mild biorefinery sequences to the microalgal biomasses for recovery
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digital twin environments and validation frameworks to ensure reliable, secure, and reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs
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reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs, offering a unique opportunity to conduct cutting-edge academic research while working directly
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, Professor Automation fabian@chalmers.se , +46 709 288 456 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive