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optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI
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or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Crispr Cas9 to E. coli, Python, R, Java, C, C++, Statistical analysis, Experience in Biosensors, Experience in 3D
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experience in Data analysis, Data processing and Statistics Extensive experience in PCB design Experience CAD design and 3D printing Experience Graphical User Interface development Demonstrated understanding
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experience in Python, R, Java, C, C++ or related language to process real-time experimental data Statistical analysis Demonstrated understanding of operational requirements for a successful research project
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in any of the following areas would be highly valued: prior work on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis
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, and robust statistical and bioinformatic workflows across all participating sites. The role requires strong expertise in human cohort studies, microbiome sequencing technologies (e.g., 16S, shotgun
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on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis; archival, ethnographic, and participatory research; GIS and social
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and the Centre team to conduct their research. The focus of the RA will be looking at quantitative data, survey data, and creating reports using statistics. For this particular position, we are looking
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promotion interventions. A capability of working with both qualitative and quantitative datasets, and the relevant appropriate statistical software packages. Self-starter who is comfortable with working
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knowledge of relevant literature in applied behavioural science Capability with statistical software packages and techniques Strong writing, presentation and communication skills Scientific curiosity and