33 parallel-and-distributed-computing-phd-"Multiple" Fellowship research jobs at Monash University
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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outputs, publications, and presentations. In this role, you will design research frameworks, develop qualitative survey methodologies, and engage with media and social platforms to promote the program. You
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
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are seeking a Research Fellow to contribute to a project funded by the Australia Economic Accelerator (AEA) Ignite program, focusing on the design and integration of a novel point-of-care diagnostic platform
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data