55 fully-funded-phd-program-computer-science-eth Fellowship positions at The University of Queensland in Australia
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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projects and participate in applications for competitive research funding; contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation
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their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
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the academic promotions process. About You Qualifications and Field of Expertise: Completion of a PhD in Systems and Synthetic Biology, Molecular Engineering, Bioengineering, Chemical Engineering, or a closely
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Develop a coherent research program and an emerging research profile in mathematical ecology or mathematical epidemiology. Participate in applications for competitive research funding to support projects
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and publish in high-quality peer-reviewed journals. Participate in applications for competitive research funding to support projects and activities. 2. Supervision and Researcher Development Contribute
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an opportunity to develop a strong research profile and gain national recognition in the field. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and
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of joint research projects and applications for competitive research funding support. Contribute to progressing towards transfer of knowledge, technology and practices to research end users through
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program, contributing to service and engagement activities, and mentoring the next generation of researchers through effective student supervision. This position presents a unique opportunity for an
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from