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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
for the activities they will undertake at ANU. The candidate should have working rights and be available to start by August 2026. Desirable Requirements: Experience in mixed models, experimental design
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design Demonstrated record of scholarly productivity as a lead author in peer-reviewed journals Experience conducting community-based participatory research Applicants should submit a CV, contact
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findings with relevant stakeholders such as those in utilities, government, and industry to elucidate further opportunities. Responsibilities* Experimental design and research ~50% Design experiments focused
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statistical methods to analyze large-scale genomic datasets, including bulk RNA-seq, single-cell RNA-seq, DNA sequencing, epigenomic profiling, and related multi-omics assays. Design, implement, optimize, and
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to design and simulate circuits for robust state preparation and error-mitigation Design and execute experiments for state preparation and error-mitigation Analyze complex datasets and maintain meticulous
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conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region. The Faculty of Technology, Art and Design (TKD) offers higher education and research and
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of theory and experiments, focusing on the practical application of projects. We are seeking a dynamic research fellow to drive cutting-edge innovation in AI-driven energy catalysis, contributing to NTU's
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-linked research projects. Key Competencies Strong experimental design and troubleshooting skills in molecular biology. Ability to independently conduct laboratory experiments and manage datasets. Strong
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research excellence. Methodological capability (qualitative, quantitative, mixed methods, computational, or design science) suitable for high-quality research and publications Experience of collaborative and
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the design of evidence-based interventions within a unified GIS-enabled decision-support platform. Key Responsibilities: Integrate and manage multi-source transport datasets, including traffic flow, telematics