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of future generations. This Leverhulme doctoral programme will train a new generation of interdisciplinary scholars to develop a deeper, holistic view of the interactions between humans and freshwaters
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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Scholarships: up to $10,000 for students undertaking a Graduate Certificate, Graduate Diploma or Masters Program, and currently employed as registered nurses or midwives within the NSW Health. Scholarship
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Certified Financial Planning (CFP) Program Student Scholarship The Certified Financial Planning (CFP) Program Scholarship was established to provide support to incoming freshmen who demonstrate a
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early as the advert may be removed before the deadline. High-dimensional computations are ubiquitous in science and engineering, often arising from models with numerous parameters. For instance
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. The candidate should have a strong background in computational biology or a related field. They will: Work closely with the clinical partner to understand the unmet clinical needs. Integrate the existing datasets
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We can’t connect to the server at www.rhodeshouse.ox.ac.uk. What can you do about it? If you entered the right address, you can: Try again later Check your network connection Check that Firefox has permission to access the web (you might be connected but behind a firewall) You can continue with...
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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and
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24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Researcher Profile
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). The Computer Science group is looking for students to work on one of the following projects Distributed Intelligence for Self-Organising Cloud–Edge Infrastructures Carbon-Conscious Resource Scheduling for AI Workloads