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the creation of robust early warning and stress classification pipelines in close collaboration with fish farming industry R&D. This role complements ongoing work in AI-based decision-making and is ideal
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and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities to meet project objectives and deadlines, generating novel scientific or technological concepts
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statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work
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Statistical software (R), - have an interest in the application of quantitative methods to epidemiology and public health questions, - have the desire to pursue further research. It would be desirable
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strictly required Familiarity with basic statistical or epidemiological concepts and data analysis Experience with R or Python for data wrangling and visualization Detail-oriented, organized, and able
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skills. Proficiency in data analysis and statistical tools (e.g., R, Python, MATLAB) and familiarity with probabilistic modelling concepts used in coastal hazards. Excellent written and verbal
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world-class research. Recognised as a premier institution for research, MSE collaborates with top universities, multinational corporations, and R&D institutions worldwide. Since 1991, NTU MSE has led
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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closely with R&D and engineering teams to achieve project goals. • Liaising with suppliers and contractors for procuring and setting up scale up systems. • Document all process development, testing
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Requirements Possess a PhD degree in Environmental Engineering or related field. Has relevant R&D experiences in RAS system for aquaculture system. Open to fixed-term contract More Information Location: Kent