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, interpretability, and data efficiency at their core. This is what you will do As a postdoctoral researcher in robot world models, you will develop compositional, physics-grounded digital twins that enable robots
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration and project management - Proficiency in software version control and
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
. • Disseminate research results through technical reports, presentations, peer-reviewed publications, and software contributions. • Maintain situational awareness in research developments and provide advice and
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, collaboration and community, and ethical behavior and stewardship. Job Responsibilities Responsibilities include developing an international level research program; collaborating across the university in research
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, collaboration and community, and ethical behavior and stewardship. Job Responsibilities Job responsibilities include developing an international level research program aligned with the mission of Georgia Tech
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analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project The project aims to develop hybrid quantum–classical approaches