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Field
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
at the University of Münster invites applications for two fully funded PhD positions in computational modelling of biological and functional material. The two projects address complementary questions in biological
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work internationally, and participate in TU Delft’s extensive training programme. The position is embedded within the globally recognized Department of Hydraulic Engineering (HE) at TU Delft, renowned
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EU programme Reference Number BAP-2026-440 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is embedded in HSFood4ALL (Healthy and
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predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
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that generate new biological understanding and clinically relevant information. This position is embedded within major research and innovation programs funded by the European Union and the German government and
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The University of Copenhagen is seeking a highly motivated and talented PhD fellow to commence December 1, 2026, or after agreement in the Merino Group at the Novo Nordisk Foundation Center
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Encounters between Frontline Workers and Citizens' and is embedded in Work package 2 (WP2), which investigates frontline workers' psyfofysiology and subjective experience. The present PhD project focuses
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is hosted by Radboud University and embedded in the PhD Graduate School of the Institute for Molecules and Materials . You will be based at HFML-FELIX, working in the Soft Condensed Matter
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-assisted and agentic interfaces for scientific imaging workflows. Establish best practices for testing, documentation, reproducibility and sustainable scientific software. This position is embedded within
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 29 days ago
fluid and cognitive measures, for early detection, disease staging and prediction of progression. The project is embedded in an international supervisory network spanning Gothenburg, Stockholm, Barcelona