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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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a doctorate in artificial intelligence, medical informatics, and precision oncology? Then join the xMDT-HPB project at the Institute for AI and Informatics in Medicine (AIIM), a pioneering research
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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be released as open-source software and reusable research artifacts. Your tasks: You will contribute to the clinical-informatics and AI workstream of SEQUORA: Co-design and implement the clinical
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program