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Field
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and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
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characterize LNPs; optimize delivery to target cells; and evaluate therapeutic efficacy in relevant in vitro and in vivo models. Job Duties Works on projects under the direction of principal investigator (PI
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thermodynamic, kinetic, and transport phenomena. - Optimize the design and control of electrified processes to effectively manage the heterogeneous and dynamic feed compositions associated with non-traditional
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, co-simulation, or hardware-relevant environments. Primary Responsibilities: Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER
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publications. Responsibilities include: Development of new experimental approaches and implementation, optimization, and modification of existing laboratory procedures and protocols to address research
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-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In
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motivated Postdoctoral Researcher to join our Grid Planning and Analysis Center (GPAC). This position will focus on tackling critical optimization challenges in medium-term power system planning like
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mouse colony management in collaboration with animal facility staff. Analyzes and interprets experimental data using appropriate statistical and bioinformatic approaches. Develops and optimizes new
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financial models. The position will include the analysis of hydropower operation and expansion, optimization and equilibrium, market penetration, and interdependencies. This description documents the general
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transplantation research, leveraging pulsed focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings