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group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has several ongoing studies in which sensor data from wearables and radar installation are used to monitor symptoms, intervention
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bias-corrected and downscaled climate data as input. The reconstruction of past floods from lake sediment records will be used to compare with model outputs, which will assess the models' ability
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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programming/scripting capabilities. Skills in data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research
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(Implementation Science) to join our national concussion research initiative. This position will play a pivotal role in coordinating and managing a large-scale study aimed at driving the uptake of the newly
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, development, implementation, and coordination of research and laboratory protocols to investigate transmission of enteric pathogens in low-income households of Salvador, Brazil within the context of large-scale
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-iu-chemistry-harnesses-advanced-computing-capabilities Our facilities used in theory are state of the art, including our Top 300 computer cluster Big Red 200, in addition to other clusters with
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28 Aug 2025 Job Information Organisation/Company Tallinn University Department School of Natural Sciences and Health Research Field Environmental science » Other Sociology » Other Researcher Profile
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to contribute to a world-leading project on Survey Data Collection Methodology Survey Futures https://surveyfutures.net/ . Survey Futures is a collaboration between nine universities and three survey
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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using