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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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populations in the context of nanohertz gravitational-wave observations Applying probabilistic inference to gravitational waves, including through machine learning techniques Analyse and interpret research
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simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo. Familiarity with humanoid robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning
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employment and the consequences of use. The post-doctoral fellow will apply physics, engineering, and advanced computational techniques, such as machine learning and data science, to provide technical subject
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We are looking for a highly motivated and skilled Research Fellow to join a project that integrates multi-omics analysis with machine learning and AI, aimed at advancing drug target discovery
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Schemes of Service: Research Division: Health and Social Sciences Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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analysis and application of machine learning techniques to structured numerical and unstructured textual data; (d) have a good track record of academic writing, including report writing, manuscript
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criteria within the person specification. The University has also signed the Armed Forces Covenant, demonstrating our commitment to ensuring that those who serve or have served in the Armed Forces, and their
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and