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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2026/02/19 05:00 AM
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assays by biophysical methods (SPR, MST, ITC, BLI) or Fluorescence-based (i.e. FP, TR-FRET) methods, and optimizing workflows for ligand discovery. Depending on your skills, you might also work
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challenges, optimize enrollment processes, and support efforts to build student bodies of diverse perspectives. Additional duties include, but are not limited to: Lead the development and execution of a multi
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opens a call for the assignment of a research grant, with one position(s), under the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants
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central driver in the continuous design, implementation and optimization of Workday and Reporting functionality. This position will be reporting to the Senior Financial Planning Systems Strategist and is
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quality improvement initiatives, maintain accurate quality control documentation, and ensure optimal equipment performance through routine testing and maintenance. This is a part-time position scheduled
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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on leadership goals, and ensuring the facility is set up for success each day. Support research goals by applying scientific background to optimize fish husbandry and best practices for raising Zebrafish for a
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
at UT Health San Antonio is recruiting for a highly qualified full-time residency trained academic Emergency Physician faculty position. Optimal candidates will have an established track record of peer
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. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization