381 computer-"https:"-"https:"-"https:"-"https:"-"CNR-IRIB-PALERMO" positions at Monash University
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of Physics and Astronomy. This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing research in nanoscience and technology. We are especially keen to
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culture of continuous improvement, managing complex priorities while while fostering collaboration and strong stakeholder relationships to support effective program delivery. The role requires significant
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term...
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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, aiming to publish in leading marketing journals and develop a coherent program of research capable of attracting external funding. You will engage with industry to deliver real-world research impact and
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brain health. We are seeking a highly motivated Research Fellow to join a multidisciplinary and multi-institutional research program within the CDCO Academic Node. This role focuses on evaluating novel
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Excellent written and verbal communication skills Analytical thinking and problem-solving capabilities High-level computer literacy and attention to detail Knowledge of the university research environment and
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them using data extracted from software repositories. This fine-tuning process aims to enable the models...