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often debris flows occur and how big and hazardous they are. In this project, we will use uncrewed aerial vehicles (UAVs) and modelling to study how, where, and when sediment is produced in mountain
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regimes. The research will study how, in some contexts, law is instrumentalized to expand executive power and suppress dissent. The appointee will create and contribute to the creation of knowledge by
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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About The University of Texas at El Paso: The University of Texas at El Paso (UTEP) is a Carnegie R1, opportunity, and community engaged university at the heart of the U.S.-Mexico border region
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About The University of Texas at El Paso: The University of Texas at El Paso (UTEP) is a Carnegie R1, opportunity, and community engaged university at the heart of the U.S.-Mexico border region
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
difficult to detect using conventional techniques. Traditional NDE methods are often slow, manual, and limited in their ability to quantify or localize internal damage accurately. With the growing demand
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Statistics is a merit. Important personal qualities include the ability to work on your own as well as together with others. You are also creative, and have a will to actively develop yourself to become a
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of Denmark (DTU) might be the perfect fit for you. We're seeking a highly motivated PhD student to join an interdisciplinary collaboration with experts in plasma diagnostics, computational plasma physics, and
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years Eligibility Fee status: Home Duration *: 4 years 1st Supervisor: David MacManus 2nd Supervisor: Pavlos Zachos Opportunity Reference No: CRAN-0065 This is a fully funded PhD (fees and bursary) in
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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems