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                test novel psychotropic and neurological agents. The course will offer you insights into a range of fields including molecular biology, brain imaging, behavioural research and epidemiology. It is 
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                EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corPhD Position – Ad Print4Life DC14 Reference code: 50156137_2 – 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA 
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                . Gry Hulsart Billström (PhD., Dept. of Medical Cell Biology) and Prof. Nils Hailer (Dept. of Surgical Sciences; Orthopaedics and Hand surgery, Uppsala University). In living tissues, cell-to-cell and 
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                for journals and generating/analysing results for your doctoral thesis. Doctoral students will be required to complete a transfer/confirmation process within the first 21 months of their PhD studies to progress 
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                related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands 
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                24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture 
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                scientists, clinicians, and engineers to push the boundaries of brain imaging and contribute to insights that can improve healthcare practice. Technical PhD Candidate In this role, you will be responsible 
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                PhD students, you will further perform human testing of several prototype devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data 
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                knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are looking for a PhD candidate for microfabrication, nanostructuring 
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                quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome