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mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
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Sweden. The project develops secure, adaptable, and scalable edge computing frameworks that integrate AI-driven intelligence and resilient infrastructure for SMEs in manufacturing, logistics, energy, and
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at appropriate national and international meetings. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. As a member
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expertise in Python and ML platforms such as PyTorch, including a track record of effective deployment of these within artificial intelligence or machine learning projects or client problems. Experience in
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intelligence or machine learning projects or client problems. 3. Experience in computer science with a background in mathematics will be considered valuable. Desirable characteristics: Engineering experience in
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 26 days ago
the Chair "Artificial Intelligence and Mechanics for scale bridging in complex materials" (AIM), funded by MIAI Cluster AI and the ANR through the France 2030 program. The research will be conducted at Inria
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their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One
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intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution