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Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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About the Role This is an opportunity to work as part of the team and project “Accelerating charged particles in space” funded by a Royal Society URF led by Dr Heli Hietala. The postdoc project
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of influence: A university assistant (postdoc) position is available at the Department of Functional Materials and Catalysis at the Faculty of Chemistry. The group of Porous Materials lead by Professor Freddy
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty