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(for example, the distance between the sensors) or based on statistical properties of the measured data (for example, the correlation between the measurements of the different sensors) [2]. Graph-based learning
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advancing the science underpinning sustainable, healthy and liveable cities of the future. This frontier research employs largescale digital datasets, artificial intelligence and statistical methods
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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to daily lab operations. Knowledge, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | about 6 hours ago
obtained before the employment start date; Experience in conducting high-quality quantitative research, with a strong command of statistical analysis of survey data, statistical programming (R/Stata), and
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
algebra, optimization, calculus and probability and statistics. Duration: The research fellowship(s) will have the duration of 7 months. It’s expected to begin in (May/2026), and it is not renewable. It is
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into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality
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, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably minimum 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level