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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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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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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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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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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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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics
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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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Engineering, visit rug.nl/fse . The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering at