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Statistics is opening a PhD position in mathematics focusing on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and
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on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is May 30, 2025. Project
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-cell imaging and analysis will be used to investigate cell and cluster morphology. The scientific interests and background of the PhD student will be a major factor in the design of the project. A person
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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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of Computing Science has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. The 60 doctoral students within
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, or have completed other education of equivalent scope and depth. We are looking for candidates with a strong interest in critical social analysis and a desire to explore questions related to digital
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at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included
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to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international 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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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography