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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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. Other potential areas may include machine design, finite element analysis, and/or engineering mechanics. The successful candidate will be expected to work in a collaborative environment and a research
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University’s campus running smoothly and looking its best year-round, and enjoy a benefits package designed for you and your family: Paid Time Off – Generous vacation, holiday, sick, and military leave
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experience in the use of machine learning algorithms applied to engineering phenomena, especially in the areas of structural engineering; Have applied knowledge in the finite element method; Have proven
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shift in the medical device security regulatory frameworks to shift evaluations from component-level thinking of individual medical devices to whole-hospital system thinking of oodles of interacting
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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, biofouling, human factor) in full-scale ship speed-power measurements and analysis by testing various in-situ applications such Energy Saving Devices. The collected data could be used to build a digital twin
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, car en modifiant la structure moléculaire, nous pouvons contrôler la forme de la barrière tunnel, le mécanisme de tunnel et les propriétés diélectriques des jonctions. Ce projet de doctorat est basé sur
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significant modeling challenge. This project addresses that challenge by combining machine learning with constitutive modeling, while ensuring adherence to physical laws. Although the primary focus is on large