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Applications: Microsoft Excel, Microsoft Word, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Demonstrate organizational skills with ability to work
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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understand own role relative to all areas; basic office computer software skills; ability to identify and learn new programs and software skills, as necessary; easily negotiate Internet; perform more complex
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to continually advance its nationally benchmarked living and learning community. We are a community of educators dedicated to developing graduates who succeed personally and professionally and contribute
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)chemistry and expertise in MD simulations, quantum chemistry or machine learning. Knowledge of biosystems, analysis skills (Python), scripting skills (bash and/or Python) and machine learning are assets
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
day-to-day use Good knowledge of some 3D vizualisation and GUI libraries (for example OpenGL, ImgUI, Magnum, QT, ...) If possible, basics in robotics (kinematic, etc.) Basics in machine learning Open
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skills and experience: Essential criteria PhD or equivalent (or thesis submitted*) in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering, Medical Imaging
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures