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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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— systems. It targets pioneering an architecture optimized for bilateral sensor processing. By fusing multiple data streams, VEST-CHIP aims to improve health tracking accuracy and unlock capabilities such as
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regarding the collection and analysis of data collected in Global Control of HPV Related Diseases Research Program. Housed within the Faculty of Medicine, the School of Population and Public Health (SPPH) is
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related
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, highlighting your knowledge and skills in these disciplines. Analytical Proficiency: Demonstrate proficiency in biostatistics, and physicochemical and analytical methods. Research Excellence: Highlight your
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behaviour testing of steel and aluminium members/connections iii. Fabrication trials and validation of welded structural components iv. Data acquisition, instrumentation and monitoring during laboratory
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-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across
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land use. By linking tree-ring data with ecological and environmental variables, the project will provide new insights into how climate change and land-use changes impact vulnerable forests in Central
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
other project resources. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly