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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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The students will be enrolled in the structured PhD programme of the Medical School, NKUA. About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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the Norwegian Railway Directorate. Duties of the position Complete the doctoral education, including at least 30 ECTS of coursework, and obtain a doctoral degree Collect, structure and assess relevant sensor
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and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
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data, and how we use that information to predict the genetic and demographic responses of spatially structured marine populations to environmental variation and change. Specifically, the primary focus
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learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and tissue reconstruction. The PhD candidate will work with
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together expertise from psychology, neuroscience, psychiatry, music therapy, and addiction research. The PhD project will focus on the neuroimaging component of FALCO, using structural and functional MRI