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robust, open-source implementations and connect the resulting models to nonadiabatic molecular dynamics simulation workflows. We’re here for the same mission, to bring science solutions to the world. Join
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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geoarchaeology of drowned Gulf landscapes. Join a dynamic research team supporting cultural resource stewardship of the offshore Coast region. This position plays a key role in developing best practice
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data assimilation systems on Unix/Linux and high-performance computing platforms. Evaluate model and assimilation performance using statistical and dynamical diagnostics and verification against
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from tens of kilometers down to meter scales. The project will involve analyzing the simulation output to address fundamental questions about the processes governing ocean mixed-layer dynamics and their
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diabetes and obesity Significant publications record in high impact journals and an independency in running projects Experience in a highly dynamic lab of several postdocs, students, and professional
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in frontier, discovery-driven research in protein phosphorylation and dynamic regulation, with a focus on an important subcellular microdomain of the neuron- the axon initial segment (AIS). The postdoc
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details, efficiently communicating on issues and outcomes, and executing independently and in collaboration. Aptitude for gaining new skills and learning quickly in a dynamic technological environment
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dedicated to advancing research in the psychology of extremism and persuasion.. Funded by the Templeton Foundation and Ohio State University, we offer a collaborative and dynamic research environment
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Integration: * Collaborate with the AI team to implement domain-adapted, instruction-tuned LLM agents and RL algorithms that dynamically steer hardware execution. * Work alongside robotics engineers