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                key element in our sustainable growth. Read more: https://www.umu.se/en/department-of-computing-science/ Duties Duties include research, teaching, and collaboration with industry. The research is 
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                experience in standard biochemical analysis methods, advanced molecular cloning techniques, CRISPR/Cas9 and experience in culturing and transfection of eukaryotic parasites. Experience in light microscopy 
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                courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits 
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                analysis. • Contributing to Humlab's regular program activities, which may involve developing and conducting short courses, participating in various events and arrangements, supporting teachers and 
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                grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going 
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                and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms 
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                data analysis support to data-driven Swedish research projects of scientific excellence, as well as being a driver of advanced postgraduate data analytics training on a national level. As a member of our 
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                purification, and computational image analysis must be acquired before starting PhD project work. As a PhD candidate, you must also be fluent in both oral and written English. Merits are: Skills and experiences 
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                publications and conference presentations. Maintaining clear, well-documented, and reproducible analysis workflows is essential to the role. Eligibility A person who has been awarded a doctorate or a foreign 
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                areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included