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objectives: 1 – Development of a tool for identifying operating regimes using machine learning techniques. 2 – Development of a tool for identifying the causes of process eco-efficiency degradation using
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: Minimum MSc degree in Civil Engineering or Material Science applied to construction materials with minimum two years of industry experience. A PhD would be desirable. Skills/experience required include
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an excellent opportunity for someone eager to grow their skills in clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn
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, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
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and Amputation Center of Excellence (EACE) is offering a postgraduate fellowship at the Uniformed Services University of the Health Sciences (USUHS) and Walter Reed National Military Medical Center
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an interdisciplinary and innovative learning hub that encompasses a wide range of areas, including film and television, animation, museums and curating, art history, as well as digital arts and
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shortlists, save searches, or receive email alerts when new scholarships matching your preferences become available. Close More about Indigenous Postgraduate Research Award (IPRA) PhD Economics Top-Up
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 3 months ago
participatory and counter-cartographic methods, including mental mapping and co-design workshops with residents in selected neighbourhoods in Loughborough and/or Nottingham. These approaches will learn from lived
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Institute for Humane Studies (IHS) at George Mason University: Graduate Sabbatical Grants Eligibility: Applicants must be enrolled as full-time PhD students who have advanced to candidacy