617 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Monash University
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relationships in organic semiconductor materials, working closely with Professor Chris McNeill in the Department of Materials Science and Engineering, Dr. Amelia Liu in the School of Physics & Astronomy as
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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coordination services. Working closely with the Program Manager and key stakeholders, the role provides high-level coordination and administrative support across project activities, ensuring effective governance
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collection and dissemination. The role includes designing and running workshops and science–policy dialogues, supporting and supervising research staff, assisting with external grant applications, and
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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leadership capabilities, enabling them to reach their full potential and make a real difference to people's lives and the future of pharmacy. You will participate in a leadership program throughout the course
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additional time for pre-reading The Opportunity Monash University has a national and international reputation for exciting, ground-breaking research that improves health, solves global challenges and empowers
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Research Fellow - Organ-on-chip Technology Job No.: 692000 Location: Parkville Campus and Melbourne Centre for Nanofabrication in Clayton Employment Type: Full-time Duration: 2 year fixed-term
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...