6 combinatorial-optimization Postdoctoral research jobs at Chalmers University of Technology in sweden
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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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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is meritorious for future research duties within academia as well as industry/the public sector. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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in electric vehicle applications. Scientifically, the following parts will be included in the research: a) Fabrication and optimization of large-scale hBN films of high quality with high in-plane