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Associate Professor Martin Thomsen’s group on data analysis and model development. You will report to the Professor Ian Mills/Associate Professor Emma Evergren. Your competences You have academic
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journals from criminology and related fields. Strong methodological competences and experience working with data collection and analysis is required and some experience with research funding is preferred. We
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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criminology or a related field and experience publishing in international journals from criminology and related fields. Strong methodological competences and experience working with data collection and analysis
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Resonance (NMR), optical microscopy, particle characterization and surface analysis. By integrating experimental observations across a diverse library of dairy powders, the project will establish
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students. Your competencies The ideal candidate has: A PhD in machine learning
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collection and analysis, including on-site measurement techniques, calculation and simulation tools, and methods for data treatment. Excellent analytical, problem-solving, and modelling skills. Strong written
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At the Faculty of Medicine, Department of Clinical Medicine, Aalborg University, a PhD stipend in genetic analysis and cardiovascular disease is available for appointment from October 1, 2026