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degradation, and connect them to cell- and pack-level safety performance. · Design model-based and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and
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of Technology, with broad activities ranging from fundamental physics to applied research addressing societal challenges in energy, sustainability, and digitalization. About the research project The project aims
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Alpha Cell is a new SciLifeLab program aimed at building the first molecular
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
author publications. Great writing skills, motivated and driven to publish. Additional Qualifications: Background in bioinformatics systems, connectomics network analysis and machine learning modeling
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, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos, in close collaboration with other
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
offers mentorship under Dr. Alejandro Plastina and collaboration within a multidisciplinary, mission-driven team. Responsibilities - Develop and enhance models for state-level farm income and regional
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, data-driven, and process-based models to coastal systems; analyze and visualize model outputs; communicate with project partners and stakeholders; and disseminate research findings in peer-reviewed
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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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. Mutations and deletions of NR2F1 lead to Bosch-Boonstra-Schaaf optic atrophy syndrome (BBSOAS). Using neuronal cells derived from CRISPR/Cas9 engineered human induced pluripotent stem cells (hiPSC) we model
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving