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towards better understanding what replication can mean for qualitative research. Last but most topically, the theme of replication raises a host of questions in relation to machine learning and artificial
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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populations in the context of nanohertz gravitational-wave observations Applying probabilistic inference to gravitational waves, including through machine learning techniques Analyse and interpret research
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the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavours. The Rehm Lab We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers
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engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavours. The van Bijsterveldt Lab We are seeking ambitious, creative, and highly skilled Postdoctoral
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engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavours. The Zuercher Lab We are seeking ambitious, creative, and highly skilled Postdoctoral