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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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research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
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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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, 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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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les tests d'indépendance conditionnelle constituent un problème fondamental en
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computerized numerical control (CNC) Vertical Mills, Lathes, and traditional conventional metal and woodworking machines. The individual must be able to work with faculty, professional research staff, graduate
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, toilets, corridors, lobbies, and other assigned floor areas. Cleans washbasins and other toilet room facilities. Washes walls by hand with a brush or by using an electric machine. Scrubs floors with
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
to learning algorithms and targeted applications the integration of various elements enabling data collection and deployment on humanoid robots We are looking for experienced engineers (2+ years) who will be
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims