1,481 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" research jobs in United Kingdom
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the role can be addressed to Dr Jasmine Donaldson (j.donaldson at ucl.ac.uk). For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and
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(one day per week) and is available as a fixed term contract until 01/02/2027, with the possibility for extension. Further information is available in the role profile. To apply for this vacancy please
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); j.wen@surrey.ac.uk . Information about research activities at FMEG can be found here: https://www.surrey.ac.uk/fire-and-explosion-modelling-group
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) and is available as a fixed term contract until 01/02/2027, with the possibility for extension. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now
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@cardiov.ox.ac.uk Georgia Broom – cvm_personnel@cardiov.ox.ac.uk The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https
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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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Cybercrime and online harms Open-source intelligence and investigation Serious and organised crime. You can find out more about CENTRIC at https://centric-research.co.uk/about As part of this role, you may
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. Learn more about us here: https://swa.cs.univie.ac.at/ . Your future tasks: You actively participate in research and administration, which means: You develop software engineering methods and tools with a
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recommendations, challenge assumptions, and embed user insights into every decision. Your will propose, design and conduct user research to collect and analyse data, helping to inform product and content design and
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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