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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 26 days ago
of the AFERA digital engineering approach. 2. Synthesize diverse data streams, including physical process data and high-fidelity physics-based simulation outputs. 3. Analyze framework performance for future
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microbiology. Interdisciplinary teams are developing biotechnological processes for tomorrow’s industry, with a focus on increasingly automated and miniaturised experiments. Do you want to push the boundaries
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISIONOur vision is to be
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decision is made. Demonstrated scientific excellence and outstanding academic track record. Strong background in wireless communications, signal processing and optimization techniques. Demonstrated
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minimizing its energy consumption and carbon footprint. Activities and Responsibilities Optimization and Improvement of Logistics Processes Analyze routing, storage, and loading flows. Identify optimization
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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volumetric bioprinting to deposit functional layers inside the stent lumen, as well as computational simulations and perfusion bioreactor systems to optimize design and performance. The final goal is to
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preprocessing large-scale single-cell and multi-omic datasets, defining model architectures, optimizing training pipelines on GPU clusters, and benchmarking against existing methods. Integrate and analyze large