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. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with proficiency in statistical software and data analysis tools, particularly
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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experience with quantitative data. Adept at working with data, including processing raw data to visualise trends and decipher patterns, and able to handle large data sets. Prior experience in various
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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they regulate large protein assemblies involved in mitosis, immune signalling, and protein homeostasis. This role is ideal for someone who enjoys both hands-on scientific work and the organizational side
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, and scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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they regulate large protein assemblies involved in mitosis, immune signalling, and protein homeostasis. This role is ideal for someone with strong experimental intuition, precision at the bench, and a strong
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of quantitative analytical methods to large datasets. Study key trends and gaps in agricultural sustainability in Southeast Asia. Coordinate and organize workshops with international collaborators. Presentation
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Quantitative data analysis) (28305) Posting Start Date: 24/03/2025 Job Description: Job Description We are seeking multiple