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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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after memory is established. ? Numerical analysis of complex data sets to evaluate the neural representation of information in the physiological recordings above. ? Collaboration
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genetics, multiplex-immunolabelling (tissues), single-cell omics, and somatic mutation analysis. The successful candidate will also assist lab management, working closely with Dr Andrew Young. The successful
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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prevention and intervention strategies. Collaborating with faculty and staff on research design, data collection, analysis, and interpretation. Writing reports and academic papers for publication in relevant
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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-analysis of the relationship of hydraulic conductivity and vegetation cover. Data analysis and publication writing. Using remote sensing to evaluate cover conditions on rangelands. Other duties as required
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bioinformatics, or toxicology but with a strong focus on data analysis and programming; Experience with transcriptomic analysis, and knowledge of common bioinformatics tools (experience with network approaches and
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investigator (PI). Helps by setting research directions on a daily basis within projects. Performs experiments, data analysis and reporting. Reports data and progress at weekly meetings with PI and research
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and