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into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic
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the start date of the position, but not earlier than 2020. Fluent English in writing and speaking. Ability to independent research. Proven ability to publish in leading journals of field (JHEP, Physical
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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collaborate with supervisor on resolution strategies Serve as a positive role model for community standards and expectations Facilitate conflict resolution between residents when appropriate Assist residents in
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deployments. - System Modeling & Testing: Experience in system modeling, simulation, and verification/validation testing aligned with standards such as ISO/IEC/IEEE 29119. - Language Proficiency: Fluent spoken
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to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 2 months ago
-edge technologies, such as Large Language Models (LLMs) and AI agents, with domain expertise in materials science. We expect candidates not only to utilize existing AI tools but to design and develop
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Job Title: Associate or Senior Editor, Nature Materials Locations: Shanghai, Beijing, Milan or Pune - hybrid working model Application Deadline: 17th September, 2026 About Springer Nature Springer