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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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Science Center (NOROCK) and Columbia Environmental Research Center (CERC) seek a postdoctoral fellow to be a part of the development, optimization, and implementation of scalable pipelines for environmental
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
and optimize (Q)SAR models Constructing chemical structure-linked knowledge bases Mentor: The mentor for this opportunity is Lidiya Stavitskaya. If you have questions about the nature of the research
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Responsibilities: Develop and optimize strategies for multiplex CRISPR-Cas genome editing in Brassica Design, construct, and validate CRISPR-Cas vectors for efficient gene editing Generate edited Brassica plants
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Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through
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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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testing. To select the optimal design against a range of technical and commercial factors To be involved in establishing intellectual property rights. To evaluate appropriate manufacturing processes
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optimally interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university
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biotransformation. Develop and optimize microbial strains, biosynthetic pathways, and cultivation strategies to improve efficiency and product yield. Design and support the integration of biotechnological processes
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates