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Field
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such as cobalt and rare earth elements from dilute sources. The successful candidate will be responsible for applying advanced quantum mechanical methods to model metal–peptide binding interactions, guide
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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production. • Direct experience and a strong understanding of structural analysis techniques. • Experience with validation of biological test compounds in relevant models
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energy and sustainable construction. Position Overview: We are seeking a talented and motivated Postdoctoral Researcher to join our cutting-edge team, working on the development of advanced AI/ML
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require major advances in electrolyte composition to achieve safer and more efficient performance. Such advances will be realized through an exploration of properties or mechanisms not exploited in
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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Responsibilities: The Department of Civil, Construction and Environmental Engineering at Iowa State University (ISU) invites applications for a Postdoctoral Research Associate position in the area of advanced and
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developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG