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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
are seeking candidates with a PhD or relevant research experience in photovoltaics, perovskite solar cells, semiconductor devices, materials science, chemical engineering, electrical engineering or a related
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, and the discovery of novel therapeutic approaches for future animal and human applications. This position offers the opportunity to lead innovative research programs, build collaborations across
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excellence through maintaining quality standards and contributing to a positive research culture provide mentoring and guidance to students and junior researchers where appropriate. About you PhD or equivalent
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Required Qualifications: PhD degree in Earth, Environmental or Agricultural Sciences or a related field Proven experience in wind or water erosion field research (e.g., MSc/PhD project) Experience in using
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response) Develop novel analytical pipelines, tools, and methods for studying cancer multi-omics data Build and maintain a comprehensive clinico-genomic database and web resources for rare pediatric and
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Fellow – Rural Health opportunity will enable you to build your research profile while contributing to impactful projects that address some of the most pressing healthcare challenges facing rural
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restricted in their practitioners and/or their objects of analysis. For this reason, candidates are encouraged to propose creative and innovative projects which will not only make an important contribution
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relevant PhD (or equivalent qualification/experience) awarded prior to commencing the appointment Ability to develop a coherent world-leading research programme Ability to plan and build a team and deliver
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: A relevant PhD (or equivalent qualification
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology