292 data-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" positions at Monash University
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deliver exceptional customer service aligned with best practice. The role includes compiling and analysing performance data to identify trends and recommend improvements, managing data securely, and
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to quality assurance processes, and analyses performance data to identify trends and recommend improvements. In addition, the role ensures compliance with privacy and data security standards, builds strong
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also provides additional accommodation support to students through a Preferred Accommodation Provider Program and the delivery of information and resources on the private rental market for the broader
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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, and interpretability of quantum-inspired models against classical machine learning methods. Develop a prototype system integrated with learning management system (LMS) data (e.g., Moodle) to demonstrate
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discover them The Opportunity The Faculty of Science is seeking a motivated and emerging researcher to join a project integrating global and local historical data to better understand physical environment
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excellent working relationships with staff, students, and gym patrons, and collect and analyse data relevant to the fitness centre, including report preparation and record maintenance. This exciting role is a
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The Eastern Health Clinical School is inviting you to join us as a Research Nurse to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment management
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Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information