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Field
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will be at the absolute forefront of combining GNSS and modeling the different contributions that courses solid Earth deformation where the main contributors are elastic deformation, glacial isostatic
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/TB workflows and exporting models to transport codes. Background in spintronics or SOC-driven phenomena. Exposure to uncertainty quantification and active learning in scientific ML. Summary
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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new
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We seek a postdoctoral scientist with expertise in electrodeposition science and technology. Exposure to microelectronics applications is desirable, as is familiarity with progamming and interfacing
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. Change. Impact! QuTech QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes
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cutting-edge techniques, including in vivo transgenic and knockout mouse models of diabetes/obesity, in vitro molecular and cellular assays, and genomic, proteomic, metabolomics and chemical genomic
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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& Responsibilities Developing automated manufacturability analysis methods for additive and conventional manufacturing processes. Applying machine learning techniques to 3D engineering data (CAD models, meshes, voxels
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; development of novel methods, new technology implementations, (e.g. ML models) and/or high-level products; contribution to the development and curation of open data sets and tools enabling the community