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non-canonical amino acids with new functional side chains into proteins. These methods will be optimized to allow economical production of proteins built using an expanded genetic code. We will
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply
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patterns across biological samples. Manage the development, optimization, and evaluation of new genomic and epitranscriptomic methods, including experimental troubleshooting and protocol refinement. Operates
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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questions working on the PhD project with its focus on multimodal multilane multiclass traffic flow modelling, dynamic lane allocation and signal optimization collaborating with the PhD in the partner
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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-teaching positions) This position includes the following duties: conducting mathematics courses in at least two of the following areas: linear algebra and optimization, mathematical analysis, logic and
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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02 05:00 AM
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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts