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, including familiarity with SAXS data-reduction programs. Experience working with macromolecular x-ray crystallography. Familiarity with programming languages such as Python, as well as Unix-like operating
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(preferably in Python, Matlab, R, or similar) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
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Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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utilizing Python and web-stack technologies (such as JavaScript), to translate theoretical models into functional, testable software in close collaboration with our core research team. Beyond software
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, Python You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: A doctoral degree
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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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immune cells. Experience with evaluating phagocyte functions such as reactive oxygen species, degranulation, NETs, chemotaxis, and phagocytosis. Experience in coding in python or matlab. The following
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models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python). Another requirement
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of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic