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Field
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application of modeling and simulation (M&S) strategies to support: PK/PD analyses, Exposure–response characterization, Dose selection and optimization Evidence of scientific engagement and emerging thought
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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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colorectal cancer organoid culture integrated with perfused microvascular networks. The role will focus on optimizing and standardizing vascularized organoid workflows, executing drug-response and combination
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pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal
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the team of the NAMIC Project for 3DP Ship Hull Design. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed Ship Hull and Connector System
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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limits the ability to optimize energy storage use for critical applications like emergency response, grid balancing, and off-grid power supply. The aim of this project is to develop a platform that will