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Field
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successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's interests center
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 22 days ago
of early onset dementia with Artificial Intelligence”. A central problem in healthcare is the increase in neurodegenerative diseases / dementia. The project aims to achieve early detection and differential
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Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability to work strategically with oversight from a Program Manager or senior staff. Required
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Description The Robotics and Intelligent Systems Control Laboratory (RISC) at New York University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform
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computer science and mathematics, a BSc in artificial intelligence, an MSc degree in data science, and an MSc in quantum computing. Candidate Profile We are looking for highly motivated candidates interested in
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US News & World Report that ranked us 3th best Medical Imaging Department in the World. For this position you will collaborate with clinic and industry. MUSIC consists of a group of 20 researchers
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-author publications in peer-reviewed journals. Excellent communication, collaboration, and writing skills. Job Description: The Geospatial Artificial Intelligence (GeoAI) Lab at the University of Florida
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learning. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As postdoc, you will principally carry out research. A certain amount of teaching may be part of
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and