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: Artificial Intelligence Models. Deep Learning. Development and implementation of the Model Predictive Path Integral algorithm: MPPI. Professional Experience: Development of perception and localization systems
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position within a Research Infrastructure? No Offer Description Mission: Implement a data transmission system for a Data Space. Functions to be developed: Implement data flow management algorithms. Develop
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. Prototype autonomous systems for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA and with other
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methods (logic, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices
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challenge. The ESA-funded LISA will rely on an extensive ground segment for data processing and analysis. The LISA ground segment is a distributed facility (the LISA Distributed Data Processing Center
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-intensive, often being non-interpretable, and being highly brittle towards shifts in data distribution and changes in the problem domain. This fully-funded three-year project, with the possible further
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which of the following general areas best describe your research interests (you may select up to three): Algorithms, Theory, and Foundations Artificial Intelligence and Machine Learning Computing
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Posting Details Position Information Position Title Assistant Professor of Teaching (Lecturer), Algorithms & Computer Security Department Computer Science and Engineering Posting Number F250105
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teams and team members across the broader ISC and UBC community to collect and distribute knowledge and to understand and execute on product training requirements. Work Performed 1) Provides knowledge
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architectures, frameworks, and prototypes for high-fidelity visual simulations and AI-enabled environments and applications. Apply computational models, data-driven algorithms, and physics-based simulation