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- bermet.ishenbekova@ucentralasia.org
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dataset construction. Applicants will: hold a PhD in a relevant discipline such as epidemiology, medical statistics, public health, data science, or similar, or equivalent qualifications; have extensive
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a PhD degree in one of the following disciplines: energy systems, data analytics, quantitative methods, mathematics, engineering or other relevant discipline, have commensurate research which includes
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advanced epidemiological analyses, health inequalities modelling, and SDE-based data linkage. The post holder will lead the analytical and quantitative components of WP2, including exposure–outcome modelling
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symptom trajectories and clinical outcomes (AMBIENT-BD)”, https://www.ambientbd.com/). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https
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integrate advanced ecological understanding with rigorous data analysis. Applicants must: Hold a PhD (or equivalent) in Marine Science or a related quantitative discipline with a focus on elasmobranchs
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qualified in relevant subject area Ability to work as part of a team to collect research data in patients Strong analytical and technical skills (e.g. in MRI physics, AI, image processing or reconstruction
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the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants from using AI tools to support their application
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laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with experiences in High Voltage Engineering, or equivalent
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practices High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability
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undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with