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to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support
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flexible, beginning as early as May 1, 2026. The employment duration is three years from the start date. For more information about our research focus and team, please visit our homepage: https
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thrive. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407410/research-assistant/… Requirements Additional Information Work Location(s) Number of offers available1Company
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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personal email address (not aalto.fi) via Aalto University open positions More information Regarding the application process and practical arrangements, please contact HR Advisor Johanna Haapalainen (hr-elec
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12.00 noon on Friday 20 February 2026. Informal enquiries may be addressed to John Coull: john.coull@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs/home Applications
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dynamic group investigating mitochondrial genetics and function using Drosophila as the model (http://themalab.co.uk ). The candidate will use genetic and biochemical approaches to study mitochondrial DNA
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of urban sanitation service delivery? Do you have analytical and data management skills? The University of Leeds hosts the CACTUS (Cost and Climate in Urban Sanitation) global database which reports
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to recruit to, develop research projects, and help with data analysis and publications. There will be the opportunity to work towards a higher research degree. This is an exciting opportunity for a
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite