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and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo mechanical behavior of various cardiovascular tissues. As a postdoctoral
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of Technology, Policy and Management at TU Delft and the Creative Business Faculty at Inholland University of Applied Sciences are looking for a postdoctoral researcher for 22-months with a background in in
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in physics, chemistry, material science, industrial ecology, or a related discipline Expertise in one of the following areas: Life cycle assessment, material supply evaluation or circularity of PV
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of ML in engineering is still in its infancy. Many areas of engineering that could leverage on ML include (meta)material characterization and design, computational structural design, and symbolic
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. You will implement reinforcement learning methods and/or graph based neural-networks incorporating process, thermal and optical data to predict the local and global material properties on-the-fly
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to further your career and impact via educational innovation. you have a PhD degree in chemical engineering, chemistry, material science or a closely related field, postdoctoral experience is a plus, you are
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for optimal accuracy and computation time. Conduct DFT simulations on a supercomputer to assess material electronic structures. Validate results by comparing with experimentally measured properties. Populate a
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and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo mechanical behavior of various cardiovascular tissues. As a postdoctoral