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and development opportunities including LinkedIn Learning, access to library facilities, salary sacrifice scheme 34 Days Annual Leave plus 5 Public Holidays. At St Andrews, equality, diversity, and
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teaching spaces, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here
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to present research findings at scientific meetings and authoring peer-reviewed manuscripts for publication. Learning Objectives: Learn about transboundary, emerging, and zoonotic arthropod-borne diseases
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Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will
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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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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 3 hours ago
. Collectively, these research areas address important methodological needs at the intersection of regulatory science, clinical trial design, and patient-centered outcomes in oncology. Learning Objectives: Gain
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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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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine