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, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both internally
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compelling content and messaging for social media, website, and e-communications in alignment with Institute branding and audience needs. Monitor analytics, platform algorithms, and audience behaviour
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algorithms for computing MML solutions beyond the one-dimensional case. Extend existing dynamic programming approaches to higher-dimensional problems or develop novel approximation methods that preserve
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planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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. The organisation is currently working on research project(s) related to the release of a new digital product that conducts optimisation of AI algorithms for sustainable home retrofitting solutions. Opportunity
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent