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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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interdisciplinary teams. Preferred Knowledge, Skills, and Abilities: Experience scaling machine learning training and/or inference on multi-node HPC systems. History of implementing, adapting, or optimizing machine
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Staff Job Description The postdoc will design and execute fermentation experiments (submerged and solid-state), optimize media and process conditions (DoE/RSM), and scale workflows from bench to pilot
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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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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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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
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
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exciting opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of network optimization and approximation
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph