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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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theoretical groups at Uppsala University and other Swedish universities with a research focus on functional magnetic materials. Requirements PhD degree in physics or a foreign degree equivalent to a PhD degree
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Postdoctoral Research Associate to support the work of Prof Fabrizio Nevola. Digital Humanities 3D Developer with expertise in 3D modelling (particularly in Blender, and a familiarity with H-BIM), photogrammetry
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through top publications and conferences. Shaping the future of AI for science across academia, industry, and entrepreneurship. What you'll bring Essential PhD in Statistical Genetics, Computational Biology
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advanced epidemiological methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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. Department Functions Investigate the role of three-dimensional chromosomal architecture in cancer development and progression. Maintain, propagate, and bank mammalian cell lines using strict aseptic techniques
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to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software for the high level
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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efficiency; cycle behaviour and degradation; influence of electrode architecture and coating morphology. A particular objective will be to identify the appropriate level of model complexity required