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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to
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initiatives, and establish standards to advance machine learning ( OpenML.org ) OpenML is a popular open science platform for sharing interconnected AI artifacts (e.g., datasets, models, and benchmarks) using
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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offers an excellent opportunity to contribute to the national Open Science agenda while advancing research on transparency, reproducibility and responsible research practices. Where to apply Website https
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project on agentic AI research assistance. ALD for next-generation energy storage technologies: Design and engineer thin films and interfaces of interest in next-generation lithium- and sodium-ion batteries
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? The successful candidate has a strong background in experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You
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mechanics, finite element modeling, and multi-scale biomechanics who is motivated to work at the interface of cardiac mechanobiology, machine learning, and scientific software development. You will be part of
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The Engineering Dynamics | Engineering Dynamics | Department MS3](https://www.utwente.nl/en/et/ms3/research-chairs/ed/)) group, Faculty of Engineering Technology at the University of Twente
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry