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entitled “Non‑Alcoholic Beer Production Using Enzymatic Treatment of Barley Wort for Optimized Fermentation with Non‑Saccharomyces Yeasts.” The primary objective of this project is to demonstrate
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independently to ongoing projects with minimal additional training. Duties • Design, perform, and optimize experiments involving cell-based super-resolution microscopy and single-molecule imaging to quantify
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-related proteins. The successful candidate is expected to contribute immediately and independently to ongoing research projects with minimal additional training. Duties • Design, perform, and optimize
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economics and seeking hands-on research experience before graduate school. Research Areas • Tariffs and trade policy • Stablecoins and digital currencies • Optimal policy design in open economies • Broader
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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developing Python software and optimization workflows in Pyomo/PyROS is desired. This is a fixed-term position of up to 6 months and is inclusive of competitive salary and full-time benefits. The starting date
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and quantum annealing for physics-driven optimization problems is also part of the research portfolio. Detector R&D for future facilities, leveraging Purdue’s infrastructure for detector development
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from