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of Computing Science while also engaging with the research environments at the Department of Informatics. The project is led by Dr. Jason Tucker (AI Policy Lab), Dr. Pedro Sanches (Informatics), and Prof. Dr
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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secondment is to the group of Prof. Kemerink at the University of Heidelberg, Germany, for the simulation and identification of organic p-n junction doping structures for efficient emission. The second
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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encourages women and those outside the gender binary to apply for the position. For additional information, please contact Prof. Alexandre Bartel alexandre.bartel@cs.umu.se We welcome your application!
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organic pollutants are taken up, distributed, metabolized, and excreted in zebrafish. We have a particular interest in critical developmental stages, including early development and juvenile stages
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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Administration, Entrepreneurship section, at Umeå School of Business, Economics and Statistics with Prof. Norbert Steigenberger as your main supervisor. With this PhD project, funded by Lundbergs Foundation, we