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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable Duties and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
*Applications will be reviewed on a rolling-basis. FDA Office and Location: A research opportunity is currently available within the Office of Product Quality Research at the U.S. Food and Drug
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process. Further information: We believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of
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, process optimization, and food characterization. Key Responsibilities Lead and manage fundamental research projects on mechanical and textural characterisation of meat and novel foods in close collaboration
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24 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Chemistry Researcher Profile First Stage Researcher (R1
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team tackling complex environmental challenges across the mining lifecycle. This is a research-focused academic position, offering the opportunity to build capability, contribute meaningfully to industry
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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, computational modeling, computer vision, natural language processing, or related AI-based methods. Strong programming skills, preferably in Python. Experience working with complex, multimodal datasets and
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School of Public Policy, developing effective public policy is a science, based on data and measurable impact.Addressing today’s interconnected, global challenges requires rigorous inquiry. It also
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, information architectures are designed not only to represent physical and environmental systems, but also to support decision-making, collaboration, communication, and long-term knowledge stewardship across