52 phd-in-image-processing-"EPIC" PhD positions at University of Groningen in Netherlands
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these processes take place at the cell surface, we are also actively studying the archaeal cell surface and surface appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal
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Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting: Towards community empowerment and fair residential energy transition using community-based
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of the viral infection cycle, such as attachment, entry and release of the host cell. Since these processes take place at the cell surface, we are also actively studying the archaeal cell surface and surface
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The Faculty of Spatial Sciences together with the Faculty of Science and Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting
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, addressing issues that are essential to understand processes of communication in an increasingly mediatized society. Where to apply Website https://www.academictransfer.com/en/jobs/354428/phd-position-tracing
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Fully funded PhD position (1.0 FTE) with the Centre for Media and Journalism Studies at the Faculty of Arts, University of Groningen, in the project “Tracing sociotechnical imaginaries of digital
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PhD researcher position working on the LHCb experiment. Searches for charged lepton flavour violation are powerful tools to advance our understanding and potentially discover hints of physics beyond
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Organisation Job description The Van Swinderen Institute for Particle Physics and Gravity invites applications for a PhD researcher position working on the LHCb experiment. Searches for charged
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expected. A PhD training programme is part of the agreement, and the successful candidate will be enrolled in the Graduate School of Science and Engineering. Selection process Applications must include
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases