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(ML) models. The doctoral researcher will also use state-of-the-art methods to make the ML models explainable, namely Deep Linear Probes and Latent Space Cartography. This work will be associated
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Environments We are seeking an excellent candidate at the doctoral researcher level to develop perception, prediction, and planning methods that enable autonomous machines to operate safely in human-robot
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, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing
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populations and routine clinical practice. This project aims to develop new methods for personalising cardiovascular digital twins at scale. The doctoral candidate will create computational approaches
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collaboration with Chalmers University of Technology. During the 3 years, you will develop next-generation data-driven methods for diagnosis, rehabilitation, and personalized treatment while working with
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the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with
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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
interdisciplinary projects that apply advanced computational methods to clinically meaningful problems across the continuum of care—from early detection and functional assessment to intervention, surgery
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UTB | about 2 months ago
, cleaning, and analyzing the experimental data; contributing to the development and estimation of the structural model; and writing and disseminating academic and policy outputs. The PhD dissertation will be
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UTB | about 2 months ago
, cleaning, and analyzing the experimental data; contributing to the development and estimation of the structural model; and writing and disseminating academic and policy outputs. The PhD dissertation will be
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UTB | about 2 months ago
, cleaning, and analyzing the experimental data; contributing to the development and estimation of the structural model; and writing and disseminating academic and policy outputs. The PhD dissertation will be