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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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interplanetary travel. Autonomous Systems: Develop AI algorithms, robotics, and autonomous software to enhance spacecraft operations and exploration. Implement machine learning techniques for improved autonomy and
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exploration. Data Science and Analysis: Develop algorithms and tools for data processing, modeling, simulations, and analytics to support scientific research and mission planning. Spacecraft Operations: Oversee
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for aircraft and spacecraft. Develop and enhance avionics components and systems, including integrating avionics with guidance, navigation, and control (GN&C) algorithms. Focus on advancing autonomous flight
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apps and software algorithms would be desirable, as would an understanding of major depression and its pharmacological treatments. Diversity Committed to equality and valuing diversity Our active
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. Possible teaching areas include introductory programming in Python, data structures and algorithms, database systems and data management, cloud computing for data science, advanced data visualization, and
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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Senior Manager - Leverhulme Centre for Algorithmic Life ( Job Number: 25001005) Department of Geography Grade 8: - £46,735 - £55,755 per annum Open-Ended/Permanent - Part Time Contracted Hours per