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systems, machine learning, and foundation models The opportunity to shape an emerging research direction at the interface of artificial intelligence, energy-system modelling and optimization The possibility
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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Ref.: 537420 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow (several posts
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leadership and laboratory managers to optimize research operations and shared resources. Responsibilities include overseeing laboratory and equipment installations, data storage solutions, freezer and
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per semester. The successful candidate will have a strong commitment to both research and teaching. This search will focus on applied mathematics, broadly construed, with particular preference
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher