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inflammatory pathways. The successful candidate will be analysing how these pathways alter in different dementia patient datasets aiding in understanding how inflammatory response differences reflect disease and
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sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
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planning and conducting Zeppelin-based airborne field campaigns over European cities Perform VOC flux measurements in 2026 and compare urban emissions across different cities worldwide Work with the CHARON
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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physical and social context, prior interactions, rank differences, and kin relationships. Our goal is to study the importance of different information sources in great ape communicative interactions
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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employees with different competencies, professional experience, life experience and perspectives. If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box
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Overview Want to make a difference protecting children? We’re seeking a passionate, innovative student to tackle a critical challenge: preventing and reducing infectious intestinal disease (IID) in