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Field
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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and Star Formation in Blended Images Develop new XID+SED techniques that apply spectral energy distribution modelling directly to images rather than catalogues, enabling the separation of star formation
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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, and the ability to work both independently and collaboratively. Desirable skills Experience in training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster
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depend closely on sea ice and under‑ice habitats, while salps thrive in warmer, often ice‑free waters. Warming and sea‑ice loss are already shifting their distributions and increasing spatial overlap, with
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and distributed systems, telecommunication engineering, computer science with a networking focus, or equivalent, with a strong background in theory, ML/AI, and mathematics Your master’s degree must
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, and the ability to work both independently and collaboratively. Desirable skills Experience in training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster
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on transitions and agency. You have experience of research on firms, entrepreneurship or innovation ecosystems in infrastructure sectors. You have experience of research on justice and distributional aspects
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Realities • Research Theme D: Adaptive and Distributed AI for Intelligent Realities • Research Theme E: Networking for Intelligent Realities This PhD research focuses on developing adaptive and distributed AI
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& Biochemistry in the College of Science (COS) at George Mason University has research labs and faculty distributed over three campuses, addressing three primary research thrust areas: the Fairfax campus