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umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social-science
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of carrying out independent research activities under tight deadlines, able to perform parallel tasks. Fluent in Swedish and English is a requirement. Previous knowledge of data collection with mixed methods
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"Beyond 3D points in Sparse Visual Mapping". Research subject The research area for the current call is computer vision and machine learning, with a focus on methods for visual localization and mapping
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science, neuroscience, statistics, physics, mathematics or a related discipline. Competence using Linux-based high-performance parallel computing systems. Familiarity with git and GitHub. Experience building pipelines
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independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout
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for the position are: Experience with analysis of proteomics data. Experience with analysis of neuroimaging data. Familiarity with git and GitHub. Competence using Linux-based high-performance parallel computing
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methods to predict the origin and dispersal patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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' at the Faculty of Science, 'Algebra, Analysis, and Dynamical Systems,' 'Applied Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical
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computing. The LunDMX group currently consists of a senior researcher, three faculty members, a postdoc, an engineer, and two Ph.D. students. Project description The overarching theme of this project is to