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ongoing projects on fermentation, as well as assessment and optimization of new raw materials for food use. The work includes developing improved analytical methods for the analysis of these components and
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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-driven methods to include prior information about the underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms
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position) is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. The project aims to develop a conceptually new type of image
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in deformation monitoring using point clouds, development of new measurement systems, and advanced geodetic data processing using classical approaches and machine learning. We look forward
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Development and application of computational methods
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. We will develop distributed and addressable robotic actuating materials that demostrate multifunctionality through the broad bandwidth of light. The Robotic Materials group headed by Prof. Hedan Bai
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have profound applications and potential in protection of environment and high health standards. Our group is engaged in development of various sensors targeting biological pollutants, measurement
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samples. Job description This project aims to develop novel methods for studying chirality across different length scales and spectral ranges to extract key structural information that goes beyond
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Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster the development of young