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techniques. Preferred Qualifications: · Demonstrated ability in the design and optimization of synthetic strategies and approaches for the production of lipids and/or polymers · Proficiency with the analytical
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to academic excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and
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integer optimization programming, energy-related techno-economic assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
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, clinicians, students and alumni are dedicated to optimizing the engagement of people — especially those with disability, injury, illness, unhealthy lifestyles or chronic conditions — in the ordinary and
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(toliaslab.org (link is external) ), Tirin Moore (moorelabstanford.com (link is external) ), and other collaborators at Stanford. Role & Responsibilities: Design and optimize large-scale electrophysiological and
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of materials Proficiency in multi-physics FE simulations, topology optimization, and working knowledge of machine learning (ML) algorithms Demonstrated exceptional problem-solving abilities, a passion for
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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced