618 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Monash University
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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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made it possible to support myself away from home while studying. I've been able to participate more in class, take up an international placement and volunteer with not-for-profit causes to strengthen my
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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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experienced hardship to enrol in an undergraduate degree in Medicine, Nursing and Health Sciences at Monash University. Total scholarship value Up to $24,000 Number offered One See details Caitlin James
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Transition Program. **To be eligible you must provide a Confirmation of Aboriginal and/or Torres Strait Islander Heritage certificate or a certified Statutory Declaration form to the William Cooper Institute
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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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delivery of campus services across the University, including cleaning, waste management, urban space maintenance and relocations. Working closely with internal stakeholders and external contractors, you will
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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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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability