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Field
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at Cambridge University and in Germany and the US, we will work from the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more
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team (external). Assist with the development and optimization of laboratory and analytical workflows. · Contribute to grant applications, manuscripts, reports, and presentations, with strong
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the development and optimization of laboratory and analytical workflows. · Contribute to grant applications, manuscripts, reports, and presentations, with strong scientific writing skills and attention
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and
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support systems, protective clothing, precision airdrop systems, and ballistic, chemical and laser-protection systems, and human performance optimization. About ORISE This program, administered by Oak Ridge
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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desirable. Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable
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, sustainable materials, and carbon reduction technologies. Support life cycle analysis (LCA), environmental impact assessments, and resource optimization studies to address real-world sustainability challenges
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to optimize therapeutic constructs and characterize strain libraries (e.g., potency, dynamic range, stability, metabolic burden), including implementation of genetic safeguards where appropriate. 3. Establish