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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across
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, insights into mRNA decay mechanisms will enable development of optimized mRNA-based therapeutics like mRNA vaccines. Recent publications include: Höpfler et al., Mol Cell, 2023 Höpfler & Hegde, Mol Cell
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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, and strengthen national energy security. The Postdoctoral Appointee will contribute significantly to ongoing research efforts in resource valorization. Specifically, the candidate will optimize, and
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at meetings A long-term interest in contributing to the overall mission of our research Additional qualities for this position include: Expertise with optimization, data science, and analytic techniques
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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, to target the patient’s specific condition and obtain an optimal long term outcome. FEM coupled with Design of Experiment (DoE) will guide the design of miniplates. Ad-hoc tuning of published