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on the development and application of computational tools in the project. This includes, first and foremost, computational text analysis to detect shaming and shamelessness in parliamentary debates, party manifestos
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design, field and laboratory-based research is required, including experience with algal culturing, microscopic techniques, photo-physiological measurements, as well as biogeochemical analysis
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structure-materials property relationship, x) Dynamic covalent bonds, xi) Nanomaterials and nanocomposites, xii) nanomaterials' analysis (e.g. Raman, TEM, SEM, X-Ray). The postdoc’s duties will include
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dynamic models for simulation, analysis and control design, and you are motivated by developing and implementing model-based control solutions that must perform reliably in a real pilot-scale system. You
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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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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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vegetation ecology, plant community ecology or multi-taxon biodiversity analyses analysis of field, camera-trap, trait, citizen-science, spatial or remote-sensing data GIS, spatial modelling, remote sensing