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Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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urgent to address the sustainability of database queries. The GREENSQL project tackles this challenge by combining reproducible measurements with advanced AI models to estimate, validate, and optimize
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization; bioprospecting for novel microbial hosts
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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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bioconversion efficiency. This will be achieved by engineering cofactors to increase the rates of enzymatic biological processes and optimizing the method of gas delivery. This will eventually assist