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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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, 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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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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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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spectrometer for elemental analysis - Statistical techniques used in source apportionment modelling, e.g., positive matrix factorization - Working with large data