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Field
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closely with other team members to develop OpenFOAM methods, processes and workflows; Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our
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Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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. The work further includes detailed analysis of nuclear pore complex architecture using electron tomography and 3D serial block-face scanning electron microscopy, supported by advanced image analysis tools
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mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable: Experience with image-based modelling workflows (CT
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macular edema (DME), with potential expansion to other retinal indications, through network meta-analysis and patient matching methodologies applied to historical and recent clinical data. The participant
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SENESCENCE2030 and maintains collaborations with leading European research centres, providing opportunities for secondments, co-supervision, and integration into international research networks. Candidate Profile
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position: Postdoctoral Research Fellow for Large-Scale Longitudinal Data Analysis in Empirical Education Research (m/f/d, E13 TV-L1, 100%, for 3 years with potential of extension for 3 more years) We are
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networking and collaboration. This is an excellent opportunity for individuals with an interest in research and they would be expected to register for a higher degree (PhD). You must be able to demonstrate
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services research). Significant relevant research experience in publichealth / social sciences, relating to mental health/ substance use. Experience in quantitative and qualitative analysis specifically