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underwater robots. - Designing, implementing, and evaluating navigation, control, and mission planning algorithms. - Studying multi-robot coordination and human-robot teaming strategies. - Participating in
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: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Scientist position is opened to contribute with algorithms and models in data-driven and
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otherwise be lost in the glare of their host stars. The primary goal of this PhD is to develop a novel active algorithm capable of achieving real-time starlight suppression across all wavelengths. The PhD
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
how Machine Learning works, ideally with coursework in Machine Learning, Algorithms, Natural Language Processing, or related topics; and must be passionate about working with organizations to form
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that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness
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(CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
collaborate closely with Professor Colin Meyer at Dartmouth College to develop new models of polynya dynamics, efficient algorithms for inversion of surface signatures, and deeper understanding of controls
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industry needs while working on projects at SIT. Key Responsibilities Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify
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reinforcement learning algorithms and contribute to the joint development of the broader modelling and policy framework. Your work will focus on multi-criteria reinforcement learning, uncertainty-aware decision
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real